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Paper Citation Record · LEDGER

Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.08730.

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

pith.paper-citation-record.v1
2403.08730 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:45:56.237159Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0bb9e71d-9dd0-4456-b911-5415d3cda086 · inbound

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output cites this paper.

InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization

Reference 120

Resolution
metadata mismatch
arxiv_id, observed 2026-05-17T10:46:28.605135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-17T10:46:28.447347Z digest=sha256:21b7a4bff2e7eff85e7216c67db6b17c5b67a7482ccb07635d85944d4fdd3437

Observation ff12a37d-7f25-4dd9-b7e3-153cb5e041c4 · inbound

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization cites this paper.

Enhancing the Reasoning Ability of Multimodal Large Language Models via Mixed Preference Optimization Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization

Reference 77

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T09:16:17.396163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T09:16:17.150383Z digest=sha256:90cb00e90c4dfcfb2ede00f22e79a4bc754a50fbea24e1a34b097594903c8179

Observation 881e100c-4a68-4ef0-b55f-329b5d5fff0b · inbound

LPOI: Listwise Preference Optimization for Vision Language Models cites this paper.

LPOI: Listwise Preference Optimization for Vision Language Models Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T13:45:56.237159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:45:56.237159Z digest=sha256:692b19d192b6dc297522dcc1f125a13799c24f97fbbd76d537568164ab8686c8

Observation 8e7387b7-ee11-417f-9516-cefda1259562 · inbound

HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models cites this paper.

HSCR: Hierarchical Self-Contrastive Rewarding for Aligning Medical Vision Language Models Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T12:00:48.948028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:00:48.948028Z digest=sha256:fbc1f5aa158ed8de89a28ec0f8660c45440e54b2f1bb27e5262ca6e3f007c937

Observation 52c4fc3e-02e6-4033-b8c7-0c0d6f315399 · inbound

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models cites this paper.

MCA-LLaVA: Manhattan Causal Attention for Reducing Hallucination in Large Vision-Language Models Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T18:09:08.076475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:09:08.076475Z digest=sha256:69657bcc481b6c595c2c244c49e2746b2263aa76eee5da91936ab5d56d8210f2

Observation fbe85699-2810-4562-a6c2-e7bf27a83bdf · inbound

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation cites this paper.

NoisyGRPO: Incentivizing Multimodal CoT Reasoning via Noise Injection and Bayesian Estimation Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-18T04:40:52.948803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T04:39:58.296388Z digest=sha256:58d281754e1bc3e1a56ffd1c645ad65fd30d95becb187fd51c9e6b2d414c45c4

Observation 4e69233a-6b55-4615-bbae-117dd8e12f1e · inbound

Deep Pre-Alignment for VLMs cites this paper.

Deep Pre-Alignment for VLMs Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization

Reference 110

Resolution
verified exact
arxiv_id, observed 2026-05-19T16:27:39.173539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-19T16:26:41.094936Z digest=sha256:a54ac04f22d3f242e4b1f7ef195070581b772d54b2f9ff91b6f6fc1e0c4ddf47