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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

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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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.757598Z digest=sha256:66d38c18d5b005584eeca07f2369d5dfac5cf73fb150d47996acca847a360192

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.762063Z digest=sha256:bac4abc431c1da138f0838b0ba7d0d5aa0ec7813b16a5fadc066807e719abb51

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.766796Z digest=sha256:98cd5e9d576c8a6ed444a122e86a9f58ef0640aa971609b94162e73fa763f4ba

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.771345Z digest=sha256:b078046eb5a7286a53b13dab6511a8e79bec9daed9ef097d1d2fa2318c766a8c

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=sha256:97314673123cbaf6f1f82209ee3788ba261f1685a3115fe23c0d0ebfb789e584

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.781678Z digest=sha256:d0162f241fadfcf5a7b926593e2278269a618c415f34b2be94424412132c90b6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.786060Z digest=sha256:37a08559b47acaea605e2df60161df0e5255355322783f2e4fa5dc4ad260d40c

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=sha256:7d888ff4adc554ecea74353ca74143f1a8a91d33081f8d47503758fd0dffb15c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.795044Z digest=sha256:0307c2699d6f588035d2acea8b084a84a5729a93bab87959dc340f36bc000390

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.799423Z digest=sha256:410275bbdd7a83e9b44b28aa61e91b6664890341fec65eb0687cdcf7029f78f6

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.803954Z digest=sha256:60a8f40a18fed29cbb03e8fc5b5dd2e122874ea46d0de0264cb3f82c6b6a24ef

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.808265Z digest=sha256:1fdc3aa2bb9a114bf358e9fb570c1ee64bca8a5c1ced2b5089f0fdd05285b491

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.812533Z digest=sha256:be589b872edbff5d726ab7d4e4a3854c74ba902e3b75bfff1d29f22e56fd341d

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:b0a9a25fea3bfa341820f4dd53d9449d4183feb6ed331f4f9aeb07cbd4f9ebcf

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.821034Z digest=sha256:cfe438551034a76d0700d64da7432495e4f8717acc11df98aa07e79e7e84beb3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.825356Z digest=sha256:269fced50eb33911e649266cd94bc3e3fd8cdbbcb0a53ec39ebf1a6420da71ff

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=sha256:8f2c7f3c7e0ad7d29c990fe1a89324fd5f215295aaa074cbb1a9d2ab787d1187

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.833696Z digest=sha256:29a635f3b702e243decf3a3f9d593982b32de5c93c991b6e0a8616ab1e73d902

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.837874Z digest=sha256:837284ffdcd26d31687c777936e7f3e29ecf271c66cfea1460e3effadf63beb4

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.841977Z digest=sha256:2ec4ef776fcbae4ecf045d878d11a296096cf7475e05e76a93776dca6a40ca7d

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=sha256:9e622c0fdbf277daa028dc7ca3ee961efb19be4d4b75e694504cd5f6a2b26922

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.850718Z digest=sha256:00f16e9dd420438da4482f6c97f49f8bf82c658341b57caa2fb234e3b5b21d04

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.855035Z digest=sha256:92dc49722e9708d55663f07bde6694ed6828d9eb70043d4b0e7894c0e68f00fe

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.859284Z digest=sha256:f551fd11a483ea7605107a522c0f086967cacdcda1b2c722ac752e17a9d12089

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.863518Z digest=sha256:e2284f524afec1d5eb2833eb57ebeaea12872bfd35cda963b99eded18568805a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.867685Z digest=sha256:89f375938803480df56a18bacc30eba2973dd773ccfcf5439f4aaf0e9fd5d56c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.872267Z digest=sha256:9b8cdd1e448e021e174602c5df3db10860acf717b25b7962f07f0f9dd0111ec2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.876567Z digest=sha256:bb6b9d755e18eb9255ae8b1935440a10b6ea5f3a980e9c8994125d20dfc521d7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.880728Z digest=sha256:b4f11b203dca2fffa99baeb66b2bafb20cf971e5e52af6d179bbf51dd871580d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.885009Z digest=sha256:40ec703f4fce424fa33afbfd95824aba0600bc7eeefec822032e61ce335301c2

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.889184Z digest=sha256:6d75461e333e80234e595064a452647aa58ec0208524a09f98fb6429ef5d6d3f

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=sha256:8802a13687cc7c2a4b57c8adf09e363bf2982c29a457abb8dc55fd0bc9ff506c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.897900Z digest=sha256:da95e70a41d84b81d8645ceed82b2cb69af672089a7021b532df764041a633d8

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.902159Z digest=sha256:1de79ec35c4df94c7fe40f4d3b76ce67b8324b4928b79f1ba94f121ddb6f9692

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.906371Z digest=sha256:7fc659532a3c035a27b15fd9053be9afbac2f0468b41c44613a25c20d7683406

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.910903Z digest=sha256:d761767d8f86c7d59d78cc55f2ddeee3122bf8e647a0c85d24fe6df4e8ed9789

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.915061Z digest=sha256:72cf277b5e87518428383b1d22cc28fe452f9fd2ce4c0768d17d8715cc341cd7

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.919241Z digest=sha256:0a677afe989d7e9486ce0c7ac7d813ce5760e9e6c6f83bedb97d5615a3ba3af0

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.923347Z digest=sha256:bc4bf3a79fa5f967fb87b5ef6b9e0f8ad3b112e552f7f7010209ce066a5b3f23

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.927529Z digest=sha256:3980f0df8a196127b78f1bd097a74d78fc4f4738808f852552b1732ccc9d0079

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.931830Z digest=sha256:077f8b72d98de7bd180c880eb34b1f6cfd2385d8306a00ee9d5f4297176d308d

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.936112Z digest=sha256:702a825e34501698d18cccbd41cd0c5ae03ffa0b2e4808a416deb4f5e0d949b0

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.940667Z digest=sha256:58e1e1512a805faffdff596d8469b852d371288d619921e146b2b510f51d36f9

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.944928Z digest=sha256:07165011a861bdad27ac6e121943c4cf82fcb6d4493bcf256052fb927a529f3b

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.949131Z digest=sha256:d91e2378d1103a3f15ca4e078952c4ec336d7dab0d037b77eb22315417cdc638

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.953298Z digest=sha256:b9503e9a72cfacbeaeee2077dfc1e00482e69b7bc0b26308adccf9238a25d2e3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.957361Z digest=sha256:b0ba9d38b033ba350a76da7cfacd48d3c90c1ac8ff350afdb1705fa40be74849

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.961523Z digest=sha256:d1e76da0914f05ce029beaa0cdcd5f0984e3b7a794907d17eeb1a33162aa36fd

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:d3cf1921d32e6740d83b1858c1b849ec04873b6561efb83ed9cb442f851c67d5

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.969874Z digest=sha256:d1e3594258f5101290e0720548a2a1987eb57b2f3f3de97ec2ebbbdc4f51960a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.974438Z digest=sha256:bf5c146d76a997132d40e697530b777205a1909d4334dbdf989b883eb2bff094

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.978565Z digest=sha256:130f22777c55df94a306fc11447ace2a416e6eb6d4d7e34040ef27c6e13836a2

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=sha256:2437db7f59e8bb93fa62169997e7e1948063e7aaed66f62822d814a50231f152

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=sha256:2d666468b2dba3af1dbefd410845ff4d2defaf75bbc5a8d54e274a2962ec5b41

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.991525Z digest=sha256:4fd8ac8821d6f626b5c9c81edae024d97c7a9c0f4310ff447e7d75bce27587ed

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:13.995593Z digest=sha256:a3b9e4f865ab6dc97c78f6c4f198ee5023965c58a09389af59bbf481bcea99b4

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:f788fd8c748352e6fc30dc7021f174e2066df33e7ff559eacfe12a1de51173da

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:14.004231Z digest=sha256:b1b389287eb19e450de7dbba3b500565727b456819ab2b17997b85226ce37fce

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:14.008706Z digest=sha256:9d31be83e64cd9342614a55f3581251c4922874235326bbd5bcc4946f00c3b87

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:14.012914Z digest=sha256:987b8dee9fb037fb36594d85d2e8e7216ab9656fd52fdcb614b73d5ccac8d5bd

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:14.017133Z digest=sha256:52c5924807a9e47fba574eed154598d41994fb23a5c8cd9f5c99f119ba20e872

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:14.021374Z digest=sha256:ae00ce3ff6671cc6e649dc136faf48499f58e082d054da7d1502d6a9e7a207e3

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:14.025652Z digest=sha256:ee8347bd1ab2d59608dbc4fcc7ef97d3ea4c004a62e194fdf72de5571cfc263c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:14.030175Z digest=sha256:d4c923536340a43787fb19a0431130822336b3f50519bfc0317e997eb2573e14

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:14.034563Z digest=sha256:e8cea07f10c2da4604282a050d4099cbedc855b37199222650e174b18fa38795

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:14.038911Z digest=sha256:a33018d41479333966b900c72504f8106f38d9ff79fa683bab87d4d2901f2dcf

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:14.044214Z digest=sha256:cb8da7f4fb475fa722b6778140ba462f4eef26af5a3eddd0aabf381e189cc93a

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:14.048843Z digest=sha256:edc41ace00ea697529ab0160ae8af80d87ca0bdfcf14da54b5d5f35e2306c829

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T19:29:14.053133Z digest=sha256:6f4044112e5ab859ee6bab812f9c9dd9b2aac48333604896f179fe0dec683432

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=sha256:3e2a66296305cc403b8a232f1e7e0babb49bf797f3dc3f21f0ed39adb1ca4959

Pith citing papers

No inbound Pith citation observations are available.