Paper Citation Record · LEDGER

Don't Deceive Me: Mitigating Gaslighting through Attention Reallocation in LMMs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2504.09456.

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

pith.paper-citation-record.v1
2504.09456 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:19:53.486772Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T08:10:31.507065Z

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 8cc379e4-5a2d-4871-b54c-0de0b8a3e33f · inbound

Benchmarking Gaslighting Attacks Against Speech Large Language Models cites this paper.

Benchmarking Gaslighting Attacks Against Speech Large Language Models Don't Deceive Me: Mitigating Gaslighting through Attention Reallocation in LMMs

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:10:31.509894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a50651e7-c8f5-4354-8398-d541d342ac69 · inbound

Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation cites this paper.

Attention Sink in Transformers: A Survey on Utilization, Interpretation, and Mitigation Don't Deceive Me: Mitigating Gaslighting through Attention Reallocation in LMMs

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:05:58.172892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7aa36b64-efc8-405b-882f-c56844f86885 · inbound

Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models cites this paper.

Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models Don't Deceive Me: Mitigating Gaslighting through Attention Reallocation in LMMs

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:29:25.194087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 06cc21ac-bc86-4893-bd85-60d5439737ca · inbound

Disentangling Semantic Attention from Structural Bias in the Attention Manifold cites this paper.

Disentangling Semantic Attention from Structural Bias in the Attention Manifold Don't Deceive Me: Mitigating Gaslighting through Attention Reallocation in LMMs

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-31T23:19:53.486772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.