Pith. sign in

Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 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 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:49:09.474778Z

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 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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T17:18:52.996467Z digest=sha256:c9c6691c3fb41dde0534754ef9d43e3ff8482136f6f49fda5fca25e1c8b0b932

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T01:29:56.480020Z digest=sha256:e312a89278581993a8c55e4587f293871ce2b3fca53f6275fa3ddc30fe47af3b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T13:54:44.011048Z digest=sha256:5cc86ae2beb6679d1e5ea4d92ea21b1a80153024aacb6d0797db968181ed7a84

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=sha256:0a526915a0dd652fd39cd09dda71060255e40b14b21d917d2cf153dacf349bf4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T08:17:19.048914Z digest=sha256:3b73ddc596f8894fa6dc3cd2df613f11fe456db2a86d47567f9cc06b30fdd2ce

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:e04d62be48080d5d107933fae54176c48c3c68457f7f16ba71c774ca7bfbbff4

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=sha256:766e8579920b09c3990b8fa5d2b79e9d7e1cd29e6abb3d7cf2a36dbaeaa11168

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T14:47:15.946199Z digest=sha256:1c31e399124b34fa50f11a93100508890df371a900dd37b3fa5f4ccb18ccb7a8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T00:41:00.814875Z digest=sha256:f7fb9d95006eca89851e196854ae35a06a584208ff60b7948c7a54aebedc9164

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T10:19:08.451445Z digest=sha256:37c2875af714c3faf6b07dbc75acfcd4571a447ce1fd7357a1fd674fd2e4bf64

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T17:40:30.038337Z digest=sha256:e9f7937279dacba48576e23fddb0bee633020fd99380cd7813eadb3f6424e351