Pith. sign in

Paper Citation Record · LEDGER

SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 56 inbound Pith citation observations for arXiv:2408.05517.

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

pith.paper-citation-record.v1
2408.05517 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 56 of 56 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:07:44.801485Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 24c95ae2-2e04-4bdf-904f-724de1f7ce38 · inbound

Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing cites this paper.

Mediator: Memory-efficient LLM Merging with Less Parameter Conflicts and Uncertainty Based Routing SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-09T00:07:44.801485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:07:44.801485Z digest=sha256:665752a41ee40d44d247aacbe1cb4395ce6badd9f99c68d5a6e677e47a61f15c

Observation 45149a5f-0920-4de7-8168-ae75e20d095f · inbound

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation cites this paper.

SARChat-Bench-2M: A Multi-Task Vision-Language Benchmark for SAR Image Interpretation SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T10:14:30.169777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T10:14:30.169777Z digest=sha256:3c915f749d7b42f00cd586047f889752da79b52be626767b3eef630ba67f446f

Observation 5bb1439e-498d-4173-a198-15e309bf668b · inbound

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start cites this paper.

Advancing Multimodal Reasoning via Reinforcement Learning with Cold Start SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T13:12:59.184860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:12:59.184860Z digest=sha256:d7071732fadb3ea819cd23098954a0f1f5d976b246abff52b0448196f088e035

Observation c016390e-52e4-4925-aa35-151145ec6a97 · inbound

VideoCap-R1: Enhancing MLLMs for Video Captioning via Structured Thinking cites this paper.

VideoCap-R1: Enhancing MLLMs for Video Captioning via Structured Thinking SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-07T11:40:57.810477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:40:57.810477Z digest=sha256:13aa00f5b9ca08c21637e9620b725d08f96927a78bf8edae56f00a50135601ab

Observation 65c0c3a7-1e0e-42af-87eb-ab5f46fae5f3 · inbound

Teaching Physical Awareness to LLMs through Sounds cites this paper.

Teaching Physical Awareness to LLMs through Sounds SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:15:46.409352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:15:46.409352Z digest=sha256:bc6c8ae646b07fe006569fc1609ec56581a0c13ed7176f751cebd2aa3f1f63ad

Observation 24983bd3-10c5-4138-8d99-7ff0ad5ad655 · inbound

Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy cites this paper.

Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T04:42:02.726920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:42:02.726920Z digest=sha256:3cc4740dd62921ad491d91496bac909b27569d0fcc55c1807c0f97926835ffcf

Observation fb8b5de7-b2f8-4e92-a848-9531a44f6967 · inbound

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval cites this paper.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T00:57:04.885839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:57:04.885839Z digest=sha256:100bb3c1d17210b590577aed5e5d1f91b4b07355da349d0dec4b024a3f10680d

Observation e5529aaf-4b55-4ddb-805b-9c35db50674c · inbound

HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs cites this paper.

HKD4VLM: A Progressive Hybrid Knowledge Distillation Framework for Robust Multimodal Hallucination and Factuality Detection in VLMs SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:41.311937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:41:41.311937Z digest=sha256:9d58f31fcddf8bf3fe0eaf5cee3d89ead0fa598605ddc981e5c6d46fe5c9bc0a

Observation b5092745-b063-4db6-9433-429e9a4f61dc · inbound

Uncertainty Under the Curve: A Sequence-Level Entropy Area Metric for Reasoning LLM cites this paper.

Uncertainty Under the Curve: A Sequence-Level Entropy Area Metric for Reasoning LLM SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-05T15:11:01.114635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:11:01.114635Z digest=sha256:84ae8eaf4262a53d17802d66813723174b941250444ba9e356c0a1a6aaca1857

Observation 882936b6-41ab-4fed-bd7c-ecfcdc81ac49 · inbound

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression cites this paper.

DaMoC: Efficiently Selecting the Optimal Large Language Model for Fine-tuning Domain Tasks Based on Data and Model Compression SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T12:52:01.727269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T12:52:01.727269Z digest=sha256:207b1e6a03a876671484dc0132ea4ec70d6469a86babd242be32e7c473d5d812

Observation 473a49f6-83ad-4738-bd8a-84de2b3021aa · inbound

Physical Plausibility Reasoning via HCM-GRPO: Empowering Compact Model for Superior Performance cites this paper.

Physical Plausibility Reasoning via HCM-GRPO: Empowering Compact Model for Superior Performance SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-03T22:36:12.075758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:36:12.075758Z digest=sha256:3963013a02cf0b14300df2609ec9a0717c521e2d2979620140f9a0548057a1b2

Observation bc8fa26b-b8f8-42de-abaf-658eaddfb799 · inbound

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving cites this paper.

E3AD: An Emotion-Aware Vision-Language-Action Model for Human-Centric End-to-End Autonomous Driving SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-03T18:37:03.712885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:37:03.712885Z digest=sha256:87cd3d9e699b7f82a11921149992892f178c975777dd2f8083a633bc2f07a981

Observation d9245cdc-c96b-410d-ae11-a8f22250e27d · inbound

PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data cites this paper.

PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:18:40.099220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T23:15:52.444217Z digest=sha256:305fc6338ab1104f1a7190079b406ff001b61f8fbeeab44fda026fe3a3892639

Observation 0ecbdf7d-f9e4-4a6f-9e73-f2b84cf9059b · inbound

KeyframeFace: Language-Driven Facial Animation via Semantic Keyframes cites this paper.

KeyframeFace: Language-Driven Facial Animation via Semantic Keyframes SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T22:48:38.172270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T22:46:51.954117Z digest=sha256:41f44710832276dd4edac6be121ca2927d1f34dc14fe68c7e1c2fce322d1cf1f

Observation 62efef3f-1f69-41b3-80c4-185f89de77c5 · inbound

LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning cites this paper.

LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:57:46.879481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T10:54:22.183741Z digest=sha256:1b120f79e191ca9a7b7928ee48a8d5da3cf53f55db94783d1d042cd77c3f186b

Observation 88e21ae9-2d42-44fa-a6ef-358e75a92a9b · inbound

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap cites this paper.

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-22T11:41:30.136366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T11:38:16.149523Z digest=sha256:a37d1662891479dc617578d0812ddc12b0a335cab8335dd4ec34d664902ef037

Observation ddcfae20-3d24-4c4c-8a25-290fd4bc492b · inbound

SWE-Manager: Selecting and Synthesizing Golden Proposals Before Coding cites this paper.

SWE-Manager: Selecting and Synthesizing Golden Proposals Before Coding SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-03T06:22:27.609701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T06:22:27.609701Z digest=sha256:971aa7113bc449f61d0a8a0ca3f575010b868b79ae641e0a4b9fd12f806a3a3d

Observation cd90561c-a20a-4027-b306-f5b21d598970 · inbound

ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure cites this paper.

ConPress: Learning Efficient Reasoning from Multi-Question Contextual Pressure SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T05:43:55.046254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:43:55.046254Z digest=sha256:32ca5203b031d8d8ce7c5d87068758a2569eb4197294c52214870f61cf19cd8f

Observation 875ba1c2-634c-4b81-a82d-23debd52acc5 · inbound

Logics-Parsing-Omni Technical Report cites this paper.

Logics-Parsing-Omni Technical Report SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 26

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T13:40:01.771635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T13:37:44.189839Z digest=sha256:d4089f4b04f3817232c39b5ae6e0185faf8063ccc24d0d6c047af6cb9cd40592

Observation 1e8128d5-93ef-485c-8298-ea6fa87d21a6 · inbound

AI Can Learn Scientific Taste cites this paper.

AI Can Learn Scientific Taste SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-02T18:14:54.470711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:14:54.470711Z digest=sha256:36ed2753c3f1cdd056fe92821a914ba0545f4f981a5f4f0e422d1644dee5b9b2

Observation 47bf6857-0b08-468b-9060-dc0d7535e938 · inbound

TSHA: A Benchmark for Visual Language Models in Trustworthy Safety Hazard Assessment Scenarios cites this paper.

TSHA: A Benchmark for Visual Language Models in Trustworthy Safety Hazard Assessment Scenarios SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-02T17:05:15.217292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:05:15.217292Z digest=sha256:a95decfe3182eac5ef13f9ad951571c06281a22d450b1b916593c0e4bfe9412a

Observation 60e0ec60-fc9d-42b0-bcb7-57d87219c693 · inbound

JU\'A -- A Benchmark for Information Retrieval in Brazilian Legal Text Collections cites this paper.

JU\'A -- A Benchmark for Information Retrieval in Brazilian Legal Text Collections SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:30:51.171994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:30:21.644766Z digest=sha256:dc4240c07df69dfd4cbd159918dc9de1c43902325ae73646740854e10ba69113

Observation 96414d0f-e439-495f-b2cd-99e400fc6132 · inbound

EasyVideoR1: Easier RL for Video Understanding cites this paper.

EasyVideoR1: Easier RL for Video Understanding SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T07:42:06.717229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T07:41:27.231098Z digest=sha256:250cc84d9c5a23c905a3eb0cfc5f13e3ed283a3136c170cb5955ebcc23a6fb3c

Observation 37422599-401a-492a-bb91-420499f55006 · inbound

Steadily moving semi-infinite fracture in plane poroelasticity cites this paper.

Steadily moving semi-infinite fracture in plane poroelasticity SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 115

Resolution
verified exact
local_arxiv, observed 2026-07-05T11:41:02.648115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-05T11:39:05.686584Z digest=sha256:d818140896e891d1dc1f2e0785331cf065056e56fc48d2ac6b57fcf452d1e3b5

Observation a5b1aa0d-86da-4e04-9bd5-e41eda7ba140 · inbound

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments cites this paper.

XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 115

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T05:51:10.308339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T05:46:36.865150Z digest=sha256:8842d16afd0404928391bbcd9ce9cc6fcb900cd0d3df64ccaf229196d44fd5eb

Observation fe75f470-079e-4947-8b25-ec310d85e96d · inbound

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds cites this paper.

Supermassive Black Hole Winds in X-rays: SUBWAYS IV. Tracing Radio Emission and Unveiling the Role of Winds SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-07-12T18:39:55.906516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T18:39:55.906516Z digest=sha256:e6f6bf9a3eb9b7d8d80f1e08c518958cae36c36a712df9abb7d8769cdfb53a04

Observation b53ae53a-8d79-4f4a-8a30-bf27b50d701e · inbound

S1-VL: Scientific Multimodal Reasoning Model with Thinking-with-Images cites this paper.

S1-VL: Scientific Multimodal Reasoning Model with Thinking-with-Images SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:34:07.539501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T22:26:03.080281Z digest=sha256:d6ad462e58702401337938d3860e01c336d0bde1cca3995e92c90822efbb5564

Observation 99305059-043d-4e1b-bd0a-6f287fc3a35b · inbound

Domain-Adaptive Dense Retrieval for Brazilian Legal Search cites this paper.

Domain-Adaptive Dense Retrieval for Brazilian Legal Search SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 27

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T11:06:29.768927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T14:02:18.751292Z digest=sha256:048f26cf2ee787f51d6fe23012c3228163e86fe50296601f131dcf043dae549c

Observation 7d06a2c3-bd92-4da5-ab16-671656e6682a · inbound

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems cites this paper.

Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:51:41.097097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T16:06:51.876295Z digest=sha256:0b6c81d85a8d035cc6e56a2f1e87ba9b053187e594fa5f2e6cee63bbbfc1c8b2

Observation c2fbb130-55d2-4b6e-beb9-d5a24a6a545f · inbound

HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents cites this paper.

HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T01:45:52.354425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T01:28:36.266167Z digest=sha256:075cef9fde0b5db248da68398917884d525c3dee0313c3512217b06d9ad14f41

Observation b1bf84eb-c75c-4ef5-a386-130316ab38f5 · inbound

HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents cites this paper.

HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T03:21:19.019465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T03:18:01.006274Z digest=sha256:93830479824ee6fb514d55c71dfc555bd757bbc8f3f8fd4512d67e94dfe5d9e2

Observation 0854c3ee-4f4e-4f74-b40b-4f9d4d2e4648 · inbound

Video Understanding Reward Modeling: A Robust Benchmark and Performant Reward Models cites this paper.

Video Understanding Reward Modeling: A Robust Benchmark and Performant Reward Models SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:45:58.442620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T02:18:20.880231Z digest=sha256:d61afc08403b2082455754fd74de5e57c1477a6512e1240e0545c4111c2abbae

Observation bee764d9-c0e4-454e-a0ea-6bf13025d045 · inbound

Omni-Persona: Systematic Benchmarking and Improving Omnimodal Personalization cites this paper.

Omni-Persona: Systematic Benchmarking and Improving Omnimodal Personalization SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:46:25.284255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T04:01:23.060562Z digest=sha256:1c6d2a07cbd523efbfc0fee4fd576c86cf7a24b00a5e2078292609925dc14bf3

Observation 1554a6ec-199f-4cde-80d5-a31659eebf5a · inbound

TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health cites this paper.

TimeSRL: Generalizable Time-Series Behavioral Modeling via Semantic RL-Tuned LLMs -- A Case Study in Mental Health SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-21T06:13:59.555684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T06:09:44.172188Z digest=sha256:2e28efed92d333c37ef6cde02a82c938ab8003a3861dc43a1c2fb19bbe6d3bfb

Observation e72d38c3-6bd2-4570-a250-f5c7562a005a · inbound

From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents cites this paper.

From Patches to Trajectories: Privileged Process Supervision for Software-Engineering Agents SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 31

Resolution
malformed identifier
arxiv_id, observed 2026-05-22T05:14:37.579304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T05:13:26.057531Z digest=sha256:d031d014e8fd2b0f6305510995b8ed6a69707cfbda5bf3886f8cfe9066574acd

Observation cbc97d37-0297-4137-8eee-29aef043c4cb · inbound

BeLink: Biomedical Entity Linking Meets Generative Re-Ranking cites this paper.

BeLink: Biomedical Entity Linking Meets Generative Re-Ranking SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:41:10.277335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T06:40:55.511212Z digest=sha256:3d70abf8ca9841f286d309aa2525f795773797d52683e4992ba050862f0334ca

Observation 08baf1b9-7881-4e72-97d3-d57c4724f453 · inbound

Learning When to Think While Listening in Large Audio-Language Models cites this paper.

Learning When to Think While Listening in Large Audio-Language Models SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:43:50.724197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T18:37:34.409802Z digest=sha256:83442e395a288ef614a4637c44fa4813a34419db698befb8ba5415ea44030cef

Observation 63f9fc3d-6b3e-42c3-a643-e30674689006 · inbound

Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation cites this paper.

Qwen-Image-Bench: From Generation to Creation in Text-to-Image Evaluation SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T14:13:30.361564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T14:05:25.988619Z digest=sha256:a49d305cba788e36eadabe043cdd6d4bf16ebc445dfaf52f8fea4626caefa5c7

Observation cfd4ae1f-dd9a-4506-a562-2202f76d1797 · inbound

K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance cites this paper.

K-FinHallu: A Hallucination Detection Benchmark for Multi-Turn RAG in Korean Finance SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-06-29T09:03:16.140995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-29T08:54:48.807164Z digest=sha256:5445a9d664eee3830dd8b66827410f20ed73ac6a14c4730cc333d5b440fb1e64

Observation b610acbd-a67a-43d8-8d8f-9748c05f5fc2 · inbound

When Should Models Change Their Minds? Contextual Belief Management in Large Language Models cites this paper.

When Should Models Change Their Minds? Contextual Belief Management in Large Language Models SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:23:12.954227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-29T07:17:07.720589Z digest=sha256:b3b894406f48308d8434fcb6eb086f232c6a13979dac98732e95eb1e7dc16931

Observation a894fd34-3e04-4788-8637-2d754532f110 · inbound

PInVerify: An Offline Embodied Benchmark for Active Instance Verification cites this paper.

PInVerify: An Offline Embodied Benchmark for Active Instance Verification SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 44

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:33:13.567217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T07:30:59.306097Z digest=sha256:ed4fd6d0cc9331e85c9d28bed7aa6279cdd04e42f1c4d20843f13c30a137cefd

Observation af3e94a3-a30a-4b51-a951-e01df5f4b877 · inbound

Internalize the Temperature: On-Policy Self-Distillation as Policy Reheater for Reinforcement Learning cites this paper.

Internalize the Temperature: On-Policy Self-Distillation as Policy Reheater for Reinforcement Learning SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T19:52:35.379207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T18:50:11.545670Z digest=sha256:7c54718895808a2e0659056cc10b58bd8a1ccd84e6b96f9ae54955b723f0e0b3

Observation 829c2252-e9df-4d00-b94c-b36dcbfb625f · inbound

Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues cites this paper.

Fine-grained Fragment Retrieval in Multi-modal Long-form Dialogues SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 147

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T08:26:47.942245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-28T06:04:28.939248Z digest=sha256:5c22ddb3d4665bfbf060c7350b469e9ea2bccd0d87cbfe5556e9516111596b0d

Observation 26492af0-7033-4bfb-bea0-3299d36c7ea8 · inbound

AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation Models cites this paper.

AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation Models SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T00:27:29.714698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T17:08:22.609095Z digest=sha256:d53f4a9a56de52611bca4431029c6f617be6160ac4d47fa2c32e594bc0d98d2b

Observation 31eb51bb-3fe4-4362-acc5-e814de17e077 · inbound

Teach-and-Repeat: Accurately Extracting Operational Knowledge from Mobile Screen Demonstrations to Empower GUI Agents cites this paper.

Teach-and-Repeat: Accurately Extracting Operational Knowledge from Mobile Screen Demonstrations to Empower GUI Agents SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T13:58:22.133057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T07:20:29.742324Z digest=sha256:8a0807af8d99e6eb4b8c9e4932eda536bed95d178b38689f61a2d04fcd67144d

Observation 98da5b53-1e7f-445b-b091-2dc93c0e07d3 · inbound

Do Multimodal Large Language Models Need Reasoning to Classify Dementia from Speech? cites this paper.

Do Multimodal Large Language Models Need Reasoning to Classify Dementia from Speech? SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:37:09.069842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T16:33:24.814535Z digest=sha256:b0fecb6c7ec5d981d741f2830924eabb6e85b45684baac62fccf567ee35d8d09

Observation 4b8d9c00-c83d-4fc3-bf33-3049a30e91c5 · inbound

Do Multimodal Large Language Models Need Reasoning to Classify Dementia from Speech? cites this paper.

Do Multimodal Large Language Models Need Reasoning to Classify Dementia from Speech? SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T21:58:58.532049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-03T21:50:08.426788Z digest=sha256:370a3ed2ea348c282fe6e8147d8dd71648d6d4b5a55aecd3d3490ee9e9feca62

Observation 8727b6d7-e9d8-4265-9e3b-e164b4ed2553 · inbound

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution cites this paper.

Eluna: An Agentic LLM System for Automating Warehouse Operations with Reasoning and Task Execution SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-13T05:30:10.497783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:30:10.497783Z digest=sha256:65992e0888fba25d0884f6aa378f73cfb031a05a9eede64d5d6405f93bb293ef

Observation f5c2ae28-eea9-41e4-bc5a-c3c73aedd59b · inbound

GMoT: Gated Motion-Aware Tokenization for Fine-Grained Micro-Gesture Video Reasoning with Multimodal LLMs cites this paper.

GMoT: Gated Motion-Aware Tokenization for Fine-Grained Micro-Gesture Video Reasoning with Multimodal LLMs SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-02T04:39:26.757188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T04:39:26.757188Z digest=sha256:38230b7fabfff7a2ac6a331dd5c23e4c82e7dc6a7ba1e1dd19db2914101c47c6

Observation 9b702e80-475a-4988-acb8-da5925768003 · inbound

NOWJ@COLIEE 2026: Adaptive Pipelines for Legal Retrieval and Reasoning cites this paper.

NOWJ@COLIEE 2026: Adaptive Pipelines for Legal Retrieval and Reasoning SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-01T20:30:52.367832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T20:30:52.367832Z digest=sha256:50abf7afd5160c041832fa782f46ce8086cf31ee2afb31321d5ac1cc1e6a7afb

Observation 99906e1e-b35a-430e-a39a-50b0cfcc7171 · inbound

AIGB-R1: Self-Evolving Generative Auto-Bidding via Hierarchical Planner-Executor Optimization cites this paper.

AIGB-R1: Self-Evolving Generative Auto-Bidding via Hierarchical Planner-Executor Optimization SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-01T18:32:48.818855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:32:48.818855Z digest=sha256:a57c0c6043e2fa5bffb297f5b592908dbef5c5beaca279b2b12c2d8d38f5f048

Observation be360f7b-d396-4cbd-bec9-21a58e28f502 · inbound

Benchmarking Deep Learning Approaches for AEC Engineering Drawing Layout Detection and Information Extraction cites this paper.

Benchmarking Deep Learning Approaches for AEC Engineering Drawing Layout Detection and Information Extraction SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-01T13:53:02.815014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:53:02.815014Z digest=sha256:4ed0cf5f8f6ce15c3dfaaf0fd8f5625daa62c8edfb444aded69745198eba97d2

Observation af7b0871-ff3f-4f24-9e54-1683ba3543da · inbound

Auto-Fill: Learning to Predict Missing Values Accurately with Specialist Language Models cites this paper.

Auto-Fill: Learning to Predict Missing Values Accurately with Specialist Language Models SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-01T11:40:05.213707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:40:05.213707Z digest=sha256:6d6e8641e1e75f51c38ff5ed302d9aa4e42e583cc185e27f0ccf6ebff22ad02d

Observation 578bce50-7a9d-4f94-a164-91b5c8138e14 · inbound

Traceable LLM Reasoning for Fake-Order Fraud Detection cites this paper.

Traceable LLM Reasoning for Fake-Order Fraud Detection SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-01T03:44:28.126292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T03:44:28.126292Z digest=sha256:f6f41bdd39b1e86c856ba1788c7cd10683e187bfebcd26bff87c97c1ea4eb119

Observation afdff7b7-ffb4-4c36-b5bd-3f66f8abecd3 · inbound

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis cites this paper.

MindForge: Teaching Small Language Models Whole-Life-Cycle Software Engineering via Source-Free Program Synthesis SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-30T12:11:35.034758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T12:11:35.034758Z digest=sha256:05e79a79e286691cc0c8946cc77e20f3fa31506b6a26b25875052c289b5a83e0

Observation c6c228fe-01d3-4654-97d2-df6d8e3e858f · inbound

Beacon: Knowing When and How to Perform Agentic Visual Reasoning cites this paper.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-07-31T02:45:28.697827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:45:28.697827Z digest=sha256:f050f414601aa3a9e2dccca61d95aa0dc4398c586aa48bd1db42afd16a09c50e