Paper Citation Record · LEDGER

Reconstructive Visual Instruction Tuning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2410.09575.

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

pith.paper-citation-record.v1
2410.09575 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:32:46.962180Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:28:32.245115Z

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 8805349b-7f10-43ce-95fe-b6f8bde3ef67 · inbound

VGR: Visual Grounded Reasoning cites this paper.

VGR: Visual Grounded Reasoning Reconstructive Visual Instruction Tuning

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:12:14.436682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 961c6b19-704e-4cf5-8b3d-43130886e1a4 · inbound

ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver cites this paper.

ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver Reconstructive Visual Instruction Tuning

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T20:32:46.962180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88e3bb72-4031-4ae4-bb77-97095bef5fbe · inbound

Reconstruction Alignment Improves Unified Multimodal Models cites this paper.

Reconstruction Alignment Improves Unified Multimodal Models Reconstructive Visual Instruction Tuning

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-04T22:36:08.181930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c34c403-4ceb-4df0-a2ec-b05a656ffa54 · inbound

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models cites this paper.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models Reconstructive Visual Instruction Tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.467952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6ff7103-f3bd-4daa-a8d2-eb8018ed8ca8 · inbound

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving cites this paper.

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving Reconstructive Visual Instruction Tuning

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-17T06:48:01.100732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4f0c3670-1400-4d15-8359-c45d93d6fba8 · inbound

LaRe: Latent Refocusing for Multimodal Reasoning cites this paper.

LaRe: Latent Refocusing for Multimodal Reasoning Reconstructive Visual Instruction Tuning

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-04T00:15:19.047232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 727ea4d3-504e-4b96-b9c4-822755bbed99 · inbound

Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation cites this paper.

Generation Enhances Understanding in Unified Multimodal Models via Multi-Representation Generation Reconstructive Visual Instruction Tuning

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-03T07:03:13.944749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f122d2ab-b75b-451d-9b42-eafd08f36b78 · inbound

Latent Denoising Improves Visual Alignment in Large Multimodal Models cites this paper.

Latent Denoising Improves Visual Alignment in Large Multimodal Models Reconstructive Visual Instruction Tuning

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-09T23:09:26.735275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation bacff6a8-81a5-4502-80e1-c01ddd75dceb · inbound

See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding cites this paper.

See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding Reconstructive Visual Instruction Tuning

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:13:16.191326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 09bfac4b-1a20-4343-92f9-1c01c18a326f · inbound

Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models cites this paper.

Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models Reconstructive Visual Instruction Tuning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:38:14.438803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation db4553d1-d21c-444d-9b2a-fa253baf28eb · inbound

Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models cites this paper.

Vision Inference Former: Sustaining Visual Consistency in Multimodal Large Language Models Reconstructive Visual Instruction Tuning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-06-30T18:45:00.162571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c1c5f902-0a47-4c48-a955-f265a42a3164 · inbound

Semantic Generative Tuning for Unified Multimodal Models cites this paper.

Semantic Generative Tuning for Unified Multimodal Models Reconstructive Visual Instruction Tuning

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T11:33:14.237180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb0388fb-fd3c-4570-b15b-345d8c0f86fc · inbound

Semantic Generative Tuning for Unified Multimodal Models cites this paper.

Semantic Generative Tuning for Unified Multimodal Models Reconstructive Visual Instruction Tuning

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T18:35:00.342775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6b3391d9-473d-4a90-a54f-0e402270f3bb · inbound

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers cites this paper.

HYDRA-X: Native Unified Multimodal Models with Holistic Visual Tokenizers Reconstructive Visual Instruction Tuning

Reference 135

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:28:32.246590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.