Pith. sign in

Paper Citation Record · LEDGER

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems

As of 14 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2502.05425.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2502.05425 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:29:14.057494Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

71 of 71 outbound references displayed

  • verified exact0
  • verified fuzzy60
  • unresolved9
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation eb90f261-8954-4d7b-a08b-f46a4453b6c7 · outbound

This paper cites Transportation Internet: A Sustainable Solution for Intelligent Trans- portation Systems,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Transportation Internet: A Sustainable Solution for Intelligent Trans- portation Systems,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.309782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.752604Z digest=sha256:caeb008ced8c9510eb42349762e19fadc98064899104584f3ec046ac92430e06

Observation df474d48-cc3d-4e0b-a745-8a0b182bcf8d · outbound

This paper cites Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.295282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.757598Z digest=sha256:a64122d9792544316a8e94eff1698034ced138665744693d664e12a32a5d59d6

Observation c546e921-bd6b-4a45-957d-7a1ae9e91d52 · outbound

This paper cites Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Transportation 5.0: The DAO to Safe, Secure, and Sustainable Intelligent Transportation Systems,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.281449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.762063Z digest=sha256:90050230b043a7a35d1e88d1123c8283278404ce4c00cb52ea5e513d65fc48f2

Observation 0bfc1977-1ddb-4304-9b22-018d7f8851c5 · outbound

This paper cites Cooperative Incident Management in Mixed Traffic of CA Vs and Human-Driven Vehicles,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Cooperative Incident Management in Mixed Traffic of CA Vs and Human-Driven Vehicles,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.267699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.766796Z digest=sha256:e5ca65bdd25809486ae124d3e9e31b8cfa2600378eb6d5fff5591188d984c82a

Observation 839ebfaf-bf8e-4554-bfa4-38593332cab0 · outbound

This paper cites Advancing traffic safety through the safe system approach: A systematic review,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Advancing traffic safety through the safe system approach: A systematic review,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.252743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.771345Z digest=sha256:802629f63964e72358c429b5e80819bc1181b77c03fd802a6d4e20be9aa13ec0

Observation ed705280-76c0-49b7-a873-599eda4a050b · outbound

This paper cites GPT-4 Technical Report.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems GPT-4 Technical Report

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T19:29:13.775816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:29:13.775816Z digest=sha256:7d8ad2576f3022e3215b8109201fa14b8ac31fbf487fb739622bc82acd959a70

Observation 3557bd98-1f5c-47bf-8a63-824b83f12ae1 · outbound

This paper cites Introducing Meta Llama 3: The most capable openly available LLM to date,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Introducing Meta Llama 3: The most capable openly available LLM to date,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.238596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.781678Z digest=sha256:1de4f7c6c14ca0dc131f92e15ffb73d372d941ad0b33e0ac7dc893af9b041825

Observation 5fd06042-6fbf-4b09-a534-d26217a1877b · outbound

This paper cites Language Models are Unsupervised Multitask Learners,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Language Models are Unsupervised Multitask Learners,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.224120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.786060Z digest=sha256:f4b588a7e2e4ec72371ca40a4b3e161c142b264c388553f77afae0ddc7701424

Observation d572959e-e4ad-4206-9051-cc2c6de8c021 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Gemini: A Family of Highly Capable Multimodal Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T19:29:13.790375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:29:13.790375Z digest=sha256:b5e0c9f4036c45285ef79d13dae2d58403fd76773d217542c8e25e993ace3a29

Observation 41de2ba9-3f5e-4bd3-a8f0-268484f9dcec · outbound

This paper cites Advancing Gener- alizations of Multi-Scale GAN via Adversarial Perturbation Augmenta- tions,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Advancing Gener- alizations of Multi-Scale GAN via Adversarial Perturbation Augmenta- tions,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.209863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.795044Z digest=sha256:6f9de56f9e1acd408f0596f1a8e7bb205ed2dd66bc9e80729753249a5adf3627

Observation 624641c0-beef-4d81-a630-08e4183dcb4c · outbound

This paper cites Multimodal Feature-Guided Pretraining for RGB-T Perception,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Multimodal Feature-Guided Pretraining for RGB-T Perception,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.195699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.799423Z digest=sha256:686c78bb4d7b63c8f803f0874ccb6a0f704ac8156279b98a37b9f2b40ce7a860

Observation 20154cf0-65d4-45fd-a960-c1ac4d08b5b7 · outbound

This paper cites Vision-Based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Vision-Based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.181596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.803954Z digest=sha256:b7ca148aad01b914ce3f5753248536b853c58a6d7431e89a122d65d997ae1bcf

Observation c3a70057-c38f-40c8-ad88-8e281646d055 · outbound

This paper cites An efficient quantum proactive incremental learning algorithm,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems An efficient quantum proactive incremental learning algorithm,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.167955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.808265Z digest=sha256:f19ae957d7ff0708232bb96706b17fee26c652a7277a7c15d96b1663062e8bdd

Observation 1ca64183-5c88-4703-a733-49d239fa0b94 · outbound

This paper cites SingleS2R: Single Sample Driven Sim-to-Real Transfer for Multi-Source Visual-Tactile Information Understanding using Multi-Scale Vision Transformers,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems SingleS2R: Single Sample Driven Sim-to-Real Transfer for Multi-Source Visual-Tactile Information Understanding using Multi-Scale Vision Transformers,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.153491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.812533Z digest=sha256:2e5c6f3247d08c2167a5940a6c0b074dda0032d3dec9224d1c3075bc57769d7a

Observation 74c50735-a09a-4afb-9a68-a5dd88160465 · outbound

This paper cites Dynamically Allocated Interval-Based Generative Linguistic Steganography with Roulette Wheel.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Dynamically Allocated Interval-Based Generative Linguistic Steganography with Roulette Wheel

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T19:29:13.816643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:29:13.816643Z digest=sha256:e08417a5fd8a4d900a00baec6fce36b2d95357d160c47f5682cf24f20c0774a1

Observation 48de39ad-7585-44a8-8733-91e7f4a78bc6 · outbound

This paper cites Security of target recognition for UA V forestry remote sensing based on multi-source data fusion transformer framework,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Security of target recognition for UA V forestry remote sensing based on multi-source data fusion transformer framework,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.139230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.821034Z digest=sha256:14cf4bcf69dfa0c1dcdfcbeec9ca777c503b5e63f668313efabbabb052a7520e

Observation e6c1099c-c92f-4946-8312-187405da31df · outbound

This paper cites V-A3tS: A rapid text steganalysis method based on position information and variable parameter multi-head self-attention controlled by length,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems V-A3tS: A rapid text steganalysis method based on position information and variable parameter multi-head self-attention controlled by length,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.124444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.825356Z digest=sha256:85c793ecb0c343fafccc174bac246169eaed5db0eaf573cf55695738bc4a77ea

Observation 56e7d97e-a268-4146-9157-b0ff3b3cc314 · outbound

This paper cites A Survey on Intelligent In- ternet of Things: Applications, Security, Privacy, and Future Di- rections,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems A Survey on Intelligent In- ternet of Things: Applications, Security, Privacy, and Future Di- rections,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-08T19:29:13.829415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:29:13.829415Z digest=sha256:5d340aa26db2d163687de22e438d7fdc388c3e3e4a2f9256f897726237ddf781

Observation 412e5071-9d52-4208-ab8f-999733eb0327 · outbound

This paper cites Privacy-preserving adaptive traffic signal control in a connected vehicle environment,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Privacy-preserving adaptive traffic signal control in a connected vehicle environment,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.110209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.833696Z digest=sha256:3315ab0097f0d05e50862a5b9d21ebe040526079b974eddd5727ec5591dc6b51

Observation f2baa64f-b001-450e-a873-0965b82e2bb5 · outbound

This paper cites Regulatory options for vehicle telematics devices: balancing driver safety, data privacy and data security,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Regulatory options for vehicle telematics devices: balancing driver safety, data privacy and data security,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.095430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.837874Z digest=sha256:d1437ccdc8bb6c0dc7ebe3b6b553ba10394679fe7176142c3e79f96fa6c3f4b3

Observation d6b7bfa3-5165-4520-ada7-7e739e64f3a6 · outbound

This paper cites A Watermark for Large Language Mod- els,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems A Watermark for Large Language Mod- els,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.081305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.841977Z digest=sha256:35b60d49105137f19a97412d97151c09dfd1adee4c0d65a3d5f01a7367168800

Observation d3c112b8-51df-402d-b622-f182eca2e21f · outbound

This paper cites Necessary and Sufficient Watermark for Large Language Models.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Necessary and Sufficient Watermark for Large Language Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T19:29:13.846188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:29:13.846188Z digest=sha256:b19822506ff9ffd579968855bb77190eea1483d693e97e6247fadd5ed92e4085

Observation 3d48ff61-e3fc-41fb-a176-877e3be69c10 · outbound

This paper cites REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems REMARK-LLM: A Robust and Efficient Watermarking Framework for Generative Large Language Models,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.067234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.850718Z digest=sha256:d193754227e2f5d169a3ce6b83d45c341ec4c0315e7a498b9fe6c8a83703de1a

Observation 832636c7-857f-4b51-abdc-8cedf7dff9d5 · outbound

This paper cites A Survey of Text Watermarking in the Era of Large Language Models,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems A Survey of Text Watermarking in the Era of Large Language Models,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.052486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.855035Z digest=sha256:a4bc5f220bf35469e34c2ceacb2402a7094c5feac18c63dc27451b36525e3969

Observation 96401050-8934-4e8c-ac04-365b672d6d41 · outbound

This paper cites Adaptive Text Watermark for Large Language Models,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Adaptive Text Watermark for Large Language Models,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.037806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.859284Z digest=sha256:bd1f37248c9a7ba099a321472f283d5705844cf959f924ee6e1308947798a064

Observation e1d0f829-30c1-4881-a202-b5fef584ccdf · outbound

This paper cites Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Water- mark for Large Language Models,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Water- mark for Large Language Models,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.022807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.863518Z digest=sha256:5540ff98dfa448bf41fa298d465f25990d479638149018c26409aa5839546137

Observation b1f2b80a-a95e-4347-9dad-00a15d9cdc68 · outbound

This paper cites A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems A Resilient and Accessible Distribution-Preserving Watermark for Large Language Models,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:15.008089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.867685Z digest=sha256:c0a15b6eff6df5d660577c4b21c6f58d3e67fa68650fce323a724bb50c877c85

Observation f7a9e8c5-2733-4c53-8d3d-5d5e5394e951 · outbound

This paper cites An Entropy-based Text Watermarking Detection Method,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems An Entropy-based Text Watermarking Detection Method,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.992553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.872267Z digest=sha256:28856f02a02e7864c09810b1ebe6efb912cb3d7e983873c5f2abb251876664fa

Observation 1588bbda-1d41-425a-8397-67ed033cf8b7 · outbound

This paper cites On the Reliability of Watermarks for Large Language Models,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems On the Reliability of Watermarks for Large Language Models,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.979383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.876567Z digest=sha256:8c9c8ad24e5c598de6cc2307559cd763b021b674f891f20da2f5668f0f8d5e1a

Observation 10058dfb-7188-4ed9-83bb-4a2da844094e · outbound

This paper cites Prov- able Robust Watermarking for AI-Generated Text,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Prov- able Robust Watermarking for AI-Generated Text,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.964726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.880728Z digest=sha256:36887306c305ee877bdd4d96f64cb160bad437c87380c208c9c4abcb6d1e8477

Observation a82d11b4-9e56-4c36-b69c-f412828fca6e · outbound

This paper cites Undetectable Watermarks for Language Models,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Undetectable Watermarks for Language Models,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.949114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.885009Z digest=sha256:5af0a95d1c899b3d1f7c55ab8aaeba56b251292069fe716793a5cfb22234547c

Observation 599f1be2-7b44-4cec-bcf0-3b1e0d034189 · outbound

This paper cites An Unforgeable Publicly Verifiable Watermark for Large Language Models,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems An Unforgeable Publicly Verifiable Watermark for Large Language Models,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.934798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.889184Z digest=sha256:baeb8936e3430bf2821a9a37478d01e98053ada5f74859bcb6a40d73451418d6

Observation 36a4109d-0565-44d9-9870-c0190c00eba8 · outbound

This paper cites Provably Robust Multi-bit Watermarking for AI-generated Text.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Provably Robust Multi-bit Watermarking for AI-generated Text

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-08T19:29:13.893437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:29:13.893437Z digest=sha256:b70d53f9eb6c1f79f1f2b33a9ad27fa04ad65a36cf44ce57843e88045ff7970b

Observation 8a6ca249-2e4f-4223-bc76-b78095bf03b7 · outbound

This paper cites Towards Codable Watermarking for Injecting Multi-bits Information to LLMs,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Towards Codable Watermarking for Injecting Multi-bits Information to LLMs,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.920438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.897900Z digest=sha256:45ca098a7deba7a4e3968c0901e919e4502d0fc2f1ff996975a870b68c2f8af6

Observation 0739ccb2-2b30-4d2e-9ab5-49c57d077161 · outbound

This paper cites Advancing Beyond Identification: Multi-bit Watermark for Large Language Models,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Advancing Beyond Identification: Multi-bit Watermark for Large Language Models,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.905881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.902159Z digest=sha256:d740a16d6bf303e01e963d5a1e085852a78e4613dae35808b98e7529f1288c6e

Observation c5b2446f-87e5-4852-b735-5a638c452ec4 · outbound

This paper cites Edge Intelligence in Intelligent Transportation Systems: A Survey,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Edge Intelligence in Intelligent Transportation Systems: A Survey,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.890666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.906371Z digest=sha256:2ed28740e00dd688c6c6dc988d1da2a9b0458f465389673fc247e9e0c6933c9c

Observation 74b2b67b-2920-4232-ac76-57ad949785c7 · outbound

This paper cites A review of 6G autonomous intelli- gent transportation systems: Mechanisms, applications and challenges,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems A review of 6G autonomous intelli- gent transportation systems: Mechanisms, applications and challenges,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.876513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.910903Z digest=sha256:f5668abad01685d3ee1eb77320f5679532431fd1513df2125c23746097fde0e5

Observation cdf0ebe1-167c-4cb9-962c-43694a049018 · outbound

This paper cites Towards 5G- Enabled Self Adaptive Green and Reliable Communication in Intelligent Transportation System,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Towards 5G- Enabled Self Adaptive Green and Reliable Communication in Intelligent Transportation System,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.862447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.915061Z digest=sha256:c6051066f464e0251f45a9b2ee97ff7ccd88640c13cc0cdee1f275d20b467c50

Observation f413c95c-41d8-4124-b4a1-d9b0912daaf6 · outbound

This paper cites Big data algorithms and applications in intelligent transportation system: A review and IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 14 bibliometric analysis,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Big data algorithms and applications in intelligent transportation system: A review and IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 14 bibliometric analysis,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.848977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.919241Z digest=sha256:f607b26b7b9b28d7f318f80e5d526628561f1c2377d816e740aeb417bf30c570

Observation 8662f752-045e-4f15-9121-dae04793ead7 · outbound

This paper cites A Taxonomy and Survey of Edge Cloud Computing for Intelligent Transportation Systems and Connected Vehi- cles,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems A Taxonomy and Survey of Edge Cloud Computing for Intelligent Transportation Systems and Connected Vehi- cles,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.835026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.923347Z digest=sha256:7e3c7b9377c9c1e601bb08a2a69afa74d7c8f05e8d181bbdb510e2581339e887

Observation 4aee0b12-269b-4234-813d-b21497f9524f · outbound

This paper cites Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Traffic flow matrix-based graph neural network with attention mechanism for traffic flow prediction,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.820925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.927529Z digest=sha256:c1689f7b2dba78ebfc2ffcefbc4bfcabb5acf7cc5df0cd4ddaea07e356bb46b6

Observation 8b84aaa2-9229-4b7c-8763-b58a1b3208ed · outbound

This paper cites Spatial-temporal graph convolution network model with traffic fundamental diagram information informed for network traffic flow prediction,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Spatial-temporal graph convolution network model with traffic fundamental diagram information informed for network traffic flow prediction,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.806588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.931830Z digest=sha256:7941bff60c9e5015dec170751c1a0ff1ce6d2da98cbef327c309468da970b02e

Observation da4ca7d9-39e7-4f9e-b8d2-38c182994ba7 · outbound

This paper cites Advancing Data-Driven Decision-Making in Smart Cities through Big Data Analytics: A Comprehensive Review of Existing Literature,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Advancing Data-Driven Decision-Making in Smart Cities through Big Data Analytics: A Comprehensive Review of Existing Literature,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.792808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.936112Z digest=sha256:6d0fb1ff07236b99bfde5852b3126121074cc1660da45481ba41c0749cb61213

Observation 08f45b12-3037-411a-812f-154d4672ab0d · outbound

This paper cites FD- TGCN: Fast and dynamic temporal graph convolution network for traffic flow prediction,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems FD- TGCN: Fast and dynamic temporal graph convolution network for traffic flow prediction,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.779517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.940667Z digest=sha256:93a8f803a4e1f2a9c4f715420839ae2d2259e5532ff077920ab8f6008df79a61

Observation 7b4bc3ce-8e07-4a29-9b90-dc38c49cb2c4 · outbound

This paper cites Deep spatio-temporal 3D dilated dense neural network for traffic flow prediction,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Deep spatio-temporal 3D dilated dense neural network for traffic flow prediction,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.765051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.944928Z digest=sha256:518200f3ff8841239efbd39265ad63b2c9b239bd84112f44818f01ce2ae5640e

Observation 8411d63c-c3f0-4621-9fc1-a0021d02e56d · outbound

This paper cites Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Intelligent 3D Objects Classification for Vehicular Ad Hoc Network Based on Lidar and Deep Learning Approaches,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.751421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.949131Z digest=sha256:9b587beda227128c1e2e6299e1a542451b2f68784c8e540ac32485a9081e9b72

Observation 33fe4447-00b9-4bd9-b152-a1291aa9dc60 · outbound

This paper cites V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems V2V4Real: A Real-World Large-Scale Dataset for Vehicle-to-Vehicle Cooperative Perception,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.737354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.953298Z digest=sha256:2cfb2d31fe267d7ef42ebfc7f73df151b87584c005c6ef4f69b171286ae583b1

Observation c701478b-36fe-407f-9cdf-a2b8f9a92e03 · outbound

This paper cites A multi-objectives framework for secure blockchain in fog–cloud network of vehicle-to-infrastructure applica- tions,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems A multi-objectives framework for secure blockchain in fog–cloud network of vehicle-to-infrastructure applica- tions,

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.723013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.957361Z digest=sha256:6ef1b4a9544898497716af0c646f7befeb688fb6b750ce9ca4c8a78063f546fc

Observation 6ff686a4-eaef-48ac-8b86-c3193d48fba3 · outbound

This paper cites Two- Way Reliable Forwarding Strategy of RIS Symbiotic Communications for Vehicular Named Data Networks,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Two- Way Reliable Forwarding Strategy of RIS Symbiotic Communications for Vehicular Named Data Networks,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.709183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.961523Z digest=sha256:0f59704db985537469e01eb088185ae408225d61912ad23c902b1c497508abf0

Observation e92b699a-fc0d-4a6a-bc28-cfbd2f9e1562 · outbound

This paper cites Blockchain-Empowered Resource Allocation in HAPS-assisted IoV Digital Twin Networks: A Federated DRL Approach,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Blockchain-Empowered Resource Allocation in HAPS-assisted IoV Digital Twin Networks: A Federated DRL Approach,

Reference 50

Resolution
malformed identifier
no resolver link, observed 2026-08-08T19:29:13.965726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:29:13.965726Z digest=sha256:26846506f1dcdec8f829ab6a486744d73a02f85d464f2cf0e73041769bcfae17

Observation 59e3f939-9f9a-4598-865a-699e53939379 · outbound

This paper cites Group’n Route: An Edge Learning-Based Clustering and Efficient Routing Scheme Leveraging Social Strength for the Internet of Vehicles,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Group’n Route: An Edge Learning-Based Clustering and Efficient Routing Scheme Leveraging Social Strength for the Internet of Vehicles,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.694457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.969874Z digest=sha256:dc10b942a339baedf18cfe20214fedd5647b8d3429993a45d0c3a26946adcc7e

Observation 5e51d30b-8e3e-4867-b187-63d68262dd71 · outbound

This paper cites Link Optimization in Software Defined IoV Driven Autonomous Transportation System,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Link Optimization in Software Defined IoV Driven Autonomous Transportation System,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.680301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.974438Z digest=sha256:781da24917ea8e0d590992a7f8ac89660559c3dc74bdca8cd78f994b56f666ec

Observation 71377285-6aa3-48a6-a7d9-f1eded3ccc43 · outbound

This paper cites PIG: Prompt Images Guidance for Night-Time Scene Parsing,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems PIG: Prompt Images Guidance for Night-Time Scene Parsing,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.665438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.978565Z digest=sha256:b2ea06b53c6a873197db0c06ff26e5432f9ae7ff14aa899c48b1cfbad59dc257

Observation 7c5b8c3d-2e5a-4668-8dec-dd2ed81fb9cc · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-08T19:29:13.982584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:29:13.982584Z digest=sha256:ac666cb862a02fe092960668823b36ab5eb241e6207b8091d8171b435933104e

Observation c8f7445e-0ce8-4c78-aa68-0ecb642e4358 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-08T19:29:13.987168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:29:13.987168Z digest=sha256:4903d0a23f9cfeab25116a1cd22ecf578f8dbb20cba96868bf02d2045c76adef

Observation 51ca72b1-6df0-4892-ab19-c04144d95ce0 · outbound

This paper cites Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.651462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.991525Z digest=sha256:983419525f11dc2163cb0bb55e43c8cf1f650ac8550596fb5277e4956e6bc3ca

Observation 5ce6447b-9ebe-4922-983a-19a10e1eafac · outbound

This paper cites Generative Abnormal Data Detection for Enhancing Cellular Vehicle-to-Everything-Based Road Safety,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Generative Abnormal Data Detection for Enhancing Cellular Vehicle-to-Everything-Based Road Safety,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.637364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:13.995593Z digest=sha256:9c20674d0983edfd243c0a2eda09f352bb9e4fd6bf99cbdb996f9e96862e0359

Observation ca5df056-4600-4452-8fc3-5dc44954726c · outbound

This paper cites ChatSUMO: Large Language Model for Automating Traffic Scenario Generation in Simulation of Urban MObility,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems ChatSUMO: Large Language Model for Automating Traffic Scenario Generation in Simulation of Urban MObility,

Reference 58

Resolution
malformed identifier
no resolver link, observed 2026-08-08T19:29:13.999951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:29:13.999951Z digest=sha256:cba083e06abc8fd89cf449b533cd530dca950531ac890bcf7ea40098428d16ab

Observation d32ca717-fed1-4a25-9e13-b9c942428ca2 · outbound

This paper cites Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic- Aware Watermark Remedy,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic- Aware Watermark Remedy,

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.623257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:14.004231Z digest=sha256:2fb068e750193be7989c47166b9effe9c9be9c21cdc603ef421e735b816712d4

Observation b057e83d-c647-45d8-bd5c-758e6e9059c9 · outbound

This paper cites Who Wrote this Code? Watermarking for Code Generation,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Who Wrote this Code? Watermarking for Code Generation,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.608614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:14.008706Z digest=sha256:cdf7f88afec838ccf1562caa03bf3de443e2efaf34c85ec5021f75ecb2207b59

Observation 22415b66-a001-485b-9c50-6ee63daec500 · outbound

This paper cites Adversarial watermarking trans- former: Towards tracing text provenance with data hiding,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Adversarial watermarking trans- former: Towards tracing text provenance with data hiding,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.593921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:14.012914Z digest=sha256:7b3c143658463a103e1d3b8493abdfaa61f14491ac7b0efd653d36bdac946932

Observation 4c30ae38-33a1-417d-a4c5-6f3324505d43 · outbound

This paper cites Content- preserving text watermarking through unicode homoglyph substitution,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Content- preserving text watermarking through unicode homoglyph substitution,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.578901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:14.017133Z digest=sha256:cf78fbcc8e2be43970b575c6131a0b2db86cea6aace78b8e33c5f2e128ef9160

Observation 6e8f8d5e-6da0-4f7a-8692-0bebdb113bd7 · outbound

This paper cites Robust multi-bit natural language watermarking through invariant features,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Robust multi-bit natural language watermarking through invariant features,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.563702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:14.021374Z digest=sha256:2659efb9020fe1974e1204728b33e1e8f2632fae7a4bed126890b4a52acc30c7

Observation f8a07706-e53f-410e-9b43-d586f8611724 · outbound

This paper cites Tracing text provenance via context-aware lexical substitution,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Tracing text provenance via context-aware lexical substitution,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.549406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:14.025652Z digest=sha256:18d08091ded97b8c05289b5dc8cd45348cf0c226becdd6ac55d504a7b75240f3

Observation 9920e160-f26c-46cc-bbcd-378c9f11c04e · outbound

This paper cites A Study of Situational Reasoning for Traffic Understanding,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems A Study of Situational Reasoning for Traffic Understanding,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.533494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:14.030175Z digest=sha256:391013dc0d12c6d3990b0c214d2350ff84de7a9f1205c7bc0fc0e562dcaff9ad

Observation ac712699-ba5b-4526-80d4-8c94adcfdba1 · outbound

This paper cites AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.517381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:14.034563Z digest=sha256:8dd1c07e058d1e3bca6e6dc8be24519732cf41c0b7134b7afc7045f2489faa5f

Observation aed97352-4764-4831-abfd-2f07e935a75d · outbound

This paper cites FinQA: A Dataset of Numerical Reasoning over Financial Data,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems FinQA: A Dataset of Numerical Reasoning over Financial Data,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.502778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:14.038911Z digest=sha256:15ba36c89248798ab2bc7a77c80a1446060dd0e54e3f8ec4b8b76115a0914c30

Observation 9958b717-0230-4a6f-889a-1a942f7e9cd7 · outbound

This paper cites WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems WaterBench: Towards Holistic Evaluation of Watermarks for Large Language Models,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.487558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:14.044214Z digest=sha256:a6daba55f4a30236274b25b8638c973d5e32926347608e10920fe31e4679162d

Observation 3436e4aa-ae55-4716-8ef0-d6a63e360c63 · outbound

This paper cites Bertscore: Evaluating text generation with bert,.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems Bertscore: Evaluating text generation with bert,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.472935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:14.048843Z digest=sha256:61e6ff1205572345c3878a4a098f212da0aa2b5cc90f8782596ddaf0b922deb0

Observation f17f9256-00a4-4596-8403-c09cb0204978 · outbound

This paper cites ROUGE: A Package for Automatic Evaluation of Sum- maries.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems ROUGE: A Package for Automatic Evaluation of Sum- maries

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T19:29:14.457633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-08T19:29:14.053133Z digest=sha256:24083c9d08802dced0d1a3af1daf688c9d7c844ea72b15ea802e4d1191dc70cd

Observation 65a5222f-72f3-4646-aed5-b3b856686da9 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Toward Copyright Integrity and Verifiability via Multi-Bit Watermarking for Intelligent Transportation Systems RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-08T19:29:14.057494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:29:14.057494Z digest=sha256:8668c1e38471587691fd9aba3483ba1e6fbfd505741a8a179805368b57110f3c

Pith citing papers

No inbound Pith citation observations are available.