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Paper Citation Record · LEDGER

Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2403.17359.

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

pith.paper-citation-record.v1
2403.17359 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:28:07.332684Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T00:45:11.930288Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cdfe925c-bf9a-47b7-8218-da089f6504c3 · inbound

Do Code LLMs Understand Design Patterns? cites this paper.

Do Code LLMs Understand Design Patterns? Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T21:28:07.332684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:28:07.332684Z digest=sha256:e1cf53b1d2c1f541430a1b417a3a91e6934d51715aeae6ffcc809eab8322207d

Observation 7fa6f7b4-fffa-48b6-93d4-b41adb273f06 · inbound

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey cites this paper.

Multimodal Chain-of-Thought Reasoning: A Comprehensive Survey Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

Reference 71

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:18:53.714234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T17:18:52.996467Z digest=sha256:856a517f489458d9c9f75fc59e205d6cf5c3c9ee47346825403de50c3e5b8094

Observation 42b7db67-9002-4c23-923f-9a2093d2f508 · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

Reference 139

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:29:56.671979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:1a867b1f0a421597c951f3b648eb78af53ed69f6ca2da6c726c43e4e1fb6a6e6

Observation 52ea15f1-07b2-490e-8b6f-765b0f316623 · inbound

InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners cites this paper.

InfiGUI-R1: Advancing Multimodal GUI Agents from Reactive Actors to Deliberative Reasoners Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:54:44.109950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T13:54:44.011048Z digest=sha256:3b82717a2b4772eb841ced345b51da85023031b18e72b6c246a2058b10d254c9

Observation efde18d9-958a-4841-81de-6941b9f7e3ba · inbound

FinRobot: Generative Business Process AI Agents for Enterprise Resource Planning in Finance cites this paper.

FinRobot: Generative Business Process AI Agents for Enterprise Resource Planning in Finance Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T11:49:09.474778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:49:09.474778Z digest=sha256:19db40ce1c5e9a8d29db6dec93ddd32250085ec218b729725550c356a8ac550d

Observation 607e73f0-66c5-40cc-9132-20084c84d24e · inbound

PDF Retrieval Augmented Question Answering cites this paper.

PDF Retrieval Augmented Question Answering Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:22:11.252220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-19T08:17:19.048914Z digest=sha256:45a78503077c4389232a618ec0f851b1da19dcdbfdfde967188829ed2b172e13

Observation 2ab1bd19-2540-4f77-a237-3f1ddff06c0a · inbound

FairReason: Balancing Reasoning and Social Bias in MLLMs cites this paper.

FairReason: Balancing Reasoning and Social Bias in MLLMs Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T11:09:04.776385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:04.776385Z digest=sha256:a53c0145020592f742344bff9c1bbedee5ae3d7e9f665ea39e535c61191d1578

Observation a9cd9caf-e8d6-4c21-8bd6-cf11e8a8ad7b · inbound

Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety cites this paper.

Evo-MARL: Co-Evolutionary Multi-Agent Reinforcement Learning for Internalized Safety Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T04:17:10.475488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:17:10.475488Z digest=sha256:981316f9820061e1d6d20ee3df6d7f24680d8bf85a87c9f4f3e0c641c2256d42

Observation 155c77f2-48b6-4100-befb-3ec61136cb50 · inbound

Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation cites this paper.

Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:51:07.373258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-09T14:47:15.946199Z digest=sha256:c291aa8397caa368450633eceb7dd3e8be635f1dd463b07a4881dccb432b5e74

Observation f5abcb1f-674b-4706-b3b9-7d09b63f2c56 · inbound

Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation cites this paper.

Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-07-01T00:45:11.931551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-01T00:41:00.814875Z digest=sha256:7c7a694da89963affdd111e72d1d26614d8949c6ae0fc59380cffd12a920c239

Observation 8e7accb4-7088-48a2-a805-1d0cec5bb319 · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

Reference 186

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T20:06:09.072023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:eccbe096a1a8fdcec5e419f5463e6b15a44d9d9de081b5ea4974bb0e970221c6

Observation f7028f75-d043-4ab8-9c9d-3c6644c1570d · inbound

Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition cites this paper.

Towards Understanding Modality Interaction in Multimodal Language Models via Partial Information Decomposition Chain-of-Action: Faithful and Multimodal Question Answering through Large Language Models

Reference 30

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T17:42:26.096972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T17:40:30.038337Z digest=sha256:6fe98edf5aa9073a7a59d51c55f3ab35213e890b8b6b4c8dce9c25595e4d06e5