Paper Citation Record · LEDGER

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal

As of 20 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 1 inbound Pith citation observation for arXiv:2412.11196.

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

pith.paper-citation-record.v1
2412.11196 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:19:00.289476Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-07T13:56:19.635005Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:46:25.329449Z

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy4
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4a657bb1-a4d0-41c5-b98f-d02de3688896 · outbound

This paper cites an unresolved cited work.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:19:00.599142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 654bd297-b02d-4968-bf5a-78dc42724299 · outbound

This paper cites Assessment of Multimodal Large Language Models in Alignment with Human Values.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal Assessment of Multimodal Large Language Models in Alignment with Human Values

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T15:19:00.241742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a55b55d-6b79-4e1b-bb2e-a2a7001fc6f2 · outbound

This paper cites mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T15:19:00.245923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa50404e-d7a4-4353-bf18-6a8bf1a0a5c1 · outbound

This paper cites Self-Rewarding Language Models.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal Self-Rewarding Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T15:19:00.249897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aad27d9e-0985-4634-af5b-b597ed89de8d · outbound

This paper cites is a dataset designed for real-world visual reasoning and compositional question answering.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal is a dataset designed for real-world visual reasoning and compositional question answering

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:19:00.519034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f0830a92-9607-4a36-8736-608219fd1311 · outbound

This paper cites an unresolved cited work.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:19:00.502211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6d631083-188b-4dfe-84e1-a6adda29eb90 · outbound

This paper cites an unresolved cited work.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:19:00.588447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 91b697d9-a5eb-4858-8166-a27abd00f80e · outbound

This paper cites Questions that receive a ‘no’ for all three criteria are filtered out.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal Questions that receive a ‘no’ for all three criteria are filtered out

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:19:00.578372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cc8cb07d-f068-4539-a1e5-183abce714e3 · outbound

This paper cites an unresolved cited work.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:19:00.567956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 86c8bb7f-aa91-4411-8633-ab2050b078d0 · outbound

This paper cites an unresolved cited work.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:19:00.557538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 116a31b1-8168-444e-9dcc-f78cd9dbd6cc · outbound

This paper cites an unresolved cited work.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:19:00.545385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3d9eb71c-7624-42c9-9d34-df9c1c4edcbc · outbound

This paper cites an unresolved cited work.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:19:00.531383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 031125b8-1264-41ff-be75-a82f66a36e1a · outbound

This paper cites an unresolved cited work.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-11T15:19:00.489573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 76f63e31-02d8-45e4-b04d-5d92afe7f352 · outbound

This paper cites known unknowns.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal known unknowns

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:19:00.477081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b6805322-feab-4cd1-823e-3462995137a1 · outbound

This paper cites I don’t know,.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal I don’t know,

Reference 142

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T15:19:00.609259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b772404e-00f6-4154-9519-9c14ed6b3900 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal Hallucination of Multimodal Large Language Models: A Survey

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T15:19:00.219119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation df3d1303-0f7c-4fef-a142-11950e75c177 · inbound

Delineating Knowledge Boundaries for Honest Large Vision-Language Models cites this paper.

Delineating Knowledge Boundaries for Honest Large Vision-Language Models Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:46:25.332506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.