Paper Citation Record · LEDGER

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training

As of 12 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 3 inbound Pith citation observations for arXiv:2412.12940.

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

pith.paper-citation-record.v1
2412.12940 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:38:48.718208Z

measured 28 of 28 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T21:20:00.041277Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:28:58.415452Z

Reference resolution

25 of 25 outbound references displayed

verified exact0
verified fuzzy0
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f692c8d6-53e4-471b-b6b3-4483b6121e35 · outbound

This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training Flamingo: a Visual Language Model for Few-Shot Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.419921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8abb1fdc-6ca9-497d-817c-3b9a83c9aa5a · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.424361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ff5f3a8-6e18-4471-966e-a5f7ff2fc138 · outbound

This paper cites Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.427892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f3ee29b-54d9-4056-b79e-1a3b50a14088 · outbound

This paper cites Towards Language Models That Can See: Computer Vision Through the LENS of Natural Language.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training Towards Language Models That Can See: Computer Vision Through the LENS of Natural Language

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.431347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c50e91d1-5df6-41cf-9dde-fe077f4d97f3 · outbound

This paper cites an unresolved cited work.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:38:49.123955Z

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.

Observation d2524bb3-5842-4a0c-8db3-b5e20ff37f14 · outbound

This paper cites Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training Web-Scale Visual Entity Recognition: An LLM-Driven Data Approach

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.439701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1afdd27-89e9-4517-965a-1939588c699a · outbound

This paper cites E.; et al.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training E.; et al

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.443399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50fe8086-f1be-40f8-9841-b3716de52634 · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.460520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32c308d1-7ce9-425d-b961-4344e7ebf56a · outbound

This paper cites PaLM-E: An Embodied Multimodal Language Model.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training PaLM-E: An Embodied Multimodal Language Model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.505212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77d4a999-ef3f-4ef2-92e7-bbbead272f72 · outbound

This paper cites an unresolved cited work.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:38:49.107337Z

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.

Observation 76ed9def-f302-4623-91f1-2ae4399f6f76 · outbound

This paper cites GPT-4o System Card.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training GPT-4o System Card

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.572034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49e3ff2c-b675-425c-9aeb-2650e2bad0d0 · outbound

This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.640228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8183eb8-cd66-4691-96e3-ed86ff1e76a5 · outbound

This paper cites an unresolved cited work.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.674294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 28f271c5-3221-49f4-be25-7b2ad3227dd8 · outbound

This paper cites an unresolved cited work.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.677915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5fa7fda-a0b8-4da7-8e7c-458c2bb54727 · outbound

This paper cites an unresolved cited work.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:38:49.083532Z

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.

Observation 8ccddd14-43e4-45fb-aa4c-81fa8f4657ae · outbound

This paper cites an unresolved cited work.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:38:49.072948Z

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.

Observation 1acb917f-de01-4d4b-91b3-42fc795eb1af · outbound

This paper cites Carbon Emissions and Large Neural Network Training.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training Carbon Emissions and Large Neural Network Training

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.688127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 407c2d59-c536-4c40-a3ee-03e257cc2d8f · outbound

This paper cites W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.692182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37f9900e-44ce-4094-870f-d90016f9b138 · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.695364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3a75ae1-5564-49f1-af93-d6791e11b48b · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.699233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7ceefd9-4a8a-44e0-857e-af25f44d6e12 · outbound

This paper cites an unresolved cited work.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:38:49.054240Z

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.

Observation e78a243b-1b4a-4bfd-ad87-5843e7feadc0 · outbound

This paper cites an unresolved cited work.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.706644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1aa65b62-02f3-48c3-8fb4-67c2de24ef24 · outbound

This paper cites an unresolved cited work.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-11T13:38:48.941388Z

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.

Observation fe62e698-93f6-4ecc-91e9-179aa452b368 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training , " * write output.state after.block = add.period write newline

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.714006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4eb4a3ed-ce2c-4ac9-963b-a573c338a0ca · outbound

This paper cites write newline.

Improving Fine-grained Visual Understanding in VLMs through Text-Only Training write newline

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T13:38:48.718208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation f4f61ac8-4882-48ed-8eae-3bf6c8df07b5 · inbound

The Expense of Seeing: Attaining Trustworthy Multimodal Reasoning Within the Monolithic Paradigm cites this paper.

The Expense of Seeing: Attaining Trustworthy Multimodal Reasoning Within the Monolithic Paradigm Improving Fine-grained Visual Understanding in VLMs through Text-Only Training

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:51:05.108698Z

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.

Observation 4591128f-01c6-41d4-91b5-7adcbe14be72 · inbound

The Expense of Seeing: Attaining Trustworthy Multimodal Reasoning Within the Monolithic Paradigm cites this paper.

The Expense of Seeing: Attaining Trustworthy Multimodal Reasoning Within the Monolithic Paradigm Improving Fine-grained Visual Understanding in VLMs through Text-Only Training

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-22T10:36:25.017520Z

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.

Observation 8786e51c-aef8-47c0-9dcb-f02a802a4832 · inbound

ESC: Emotional Self-Correction for Reliable Vision-Language Models cites this paper.

ESC: Emotional Self-Correction for Reliable Vision-Language Models Improving Fine-grained Visual Understanding in VLMs through Text-Only Training

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-03T21:28:58.416837Z

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.