Paper Citation Record · LEDGER

Compositional Chain-of-Thought Prompting for Large Multimodal Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2311.17076.

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

pith.paper-citation-record.v1
2311.17076 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:40:27.373056Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:49:02.689878Z

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 dc7910ca-d04c-4346-b3c8-6fa623fd9374 · inbound

The Platonic Representation Hypothesis cites this paper.

The Platonic Representation Hypothesis Compositional Chain-of-Thought Prompting for Large Multimodal Models

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:03:56.515715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f5d2271d-89f9-4f4b-86f0-9f526d11303a · inbound

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey cites this paper.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Compositional Chain-of-Thought Prompting for Large Multimodal Models

Reference 102

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.642864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a4a524b-879f-4f6c-8bca-f1c058f80ee5 · inbound

Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the Wild cites this paper.

Socratic Questioning: Learn to Self-guide Multimodal Reasoning in the Wild Compositional Chain-of-Thought Prompting for Large Multimodal Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-10T22:06:30.333582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4665f70-48a7-425f-ba7a-4b9b798ce4d4 · inbound

DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding cites this paper.

DyFo: A Training-Free Dynamic Focus Visual Search for Enhancing LMMs in Fine-Grained Visual Understanding Compositional Chain-of-Thought Prompting for Large Multimodal Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:40:27.373056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 122c7166-4311-4d08-a4a3-f36094e61cd0 · inbound

Bridging the Dynamic Perception Gap: Training-Free Draft Chain-of-Thought for Dynamic Multimodal Spatial Reasoning cites this paper.

Bridging the Dynamic Perception Gap: Training-Free Draft Chain-of-Thought for Dynamic Multimodal Spatial Reasoning Compositional Chain-of-Thought Prompting for Large Multimodal Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T15:02:26.083572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7ccf5e1-6e03-48f8-93e9-d80f8851b14b · inbound

DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving cites this paper.

DRAMA-X: A Fine-grained Intent Prediction and Risk Reasoning Benchmark For Driving Compositional Chain-of-Thought Prompting for Large Multimodal Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T19:09:58.174154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef361559-baec-48aa-b250-31ffba03bdd6 · inbound

Enhancing Spatial Reasoning in Vision-Language Models via Chain-of-Thought Prompting and Reinforcement Learning cites this paper.

Enhancing Spatial Reasoning in Vision-Language Models via Chain-of-Thought Prompting and Reinforcement Learning Compositional Chain-of-Thought Prompting for Large Multimodal Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T19:54:48.110228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c78ca023-c2ec-4507-98ff-63b894ebd4d3 · inbound

UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning cites this paper.

UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning Compositional Chain-of-Thought Prompting for Large Multimodal Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:16:37.525660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e0d02cb4-773f-4d1d-806e-078624d0beb6 · inbound

Self-Prophetic Decoding to Unlock Visual Search in LVLMs cites this paper.

Self-Prophetic Decoding to Unlock Visual Search in LVLMs Compositional Chain-of-Thought Prompting for Large Multimodal Models

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:03:26.882062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cd5bb478-0f11-4d9e-92f9-5d82bfe1320a · inbound

From Bounding Boxes to Visual Reasoning: An On-Policy Data Annotation Tool for Vision-Language Models cites this paper.

From Bounding Boxes to Visual Reasoning: An On-Policy Data Annotation Tool for Vision-Language Models Compositional Chain-of-Thought Prompting for Large Multimodal Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T23:49:02.692196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.