Paper Citation Record · LEDGER

Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2407.07071.

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

pith.paper-citation-record.v1
2407.07071 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:20:47.809937Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7e84de85-9ca3-4042-b9c6-24a429937849 · inbound

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations cites this paper.

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T17:20:47.809937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca3b2864-de74-4dfd-82f7-1bcb04bff3ee · inbound

RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance cites this paper.

RAG-Check: Evaluating Multimodal Retrieval Augmented Generation Performance Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-10T21:46:02.860807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c6fcf8d-c3d7-485e-b0e3-0974b692ccc8 · inbound

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models cites this paper.

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T12:34:33.183946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5ae61ee-bd36-4ce2-9ef0-a344ad03c88d · inbound

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations cites this paper.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:44.209036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eee4be25-6fe0-4c1a-9a3a-a2937d313a14 · inbound

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 113

Resolution: unresolved; no resolver link, observed 2026-08-07T10:18:59.588243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aca8bfaa-8d87-483a-b4c1-a03cdfa3dcf1 · inbound

A Single Direction of Truth: An Observer Model's Linear Residual Probe Exposes and Steers Contextual Hallucinations cites this paper.

A Single Direction of Truth: An Observer Model's Linear Residual Probe Exposes and Steers Contextual Hallucinations Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T11:01:14.946851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ea40e6-c5fd-420f-ac3a-16b85c10d7ab · inbound

Modality Bias in LVLMs: Analyzing and Mitigating Object Hallucination via Attention Lens cites this paper.

Modality Bias in LVLMs: Analyzing and Mitigating Object Hallucination via Attention Lens Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T05:04:22.392070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 268f2d80-62fd-46b3-8267-7d1350656dd7 · inbound

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection cites this paper.

Cross-Layer Attention Probing for Fine-Grained Hallucination Detection Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T10:18:02.907557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc155dbc-1664-4132-aa8f-073181b3c01e · inbound

Automated Attention Pattern Discovery at Scale in Large Language Models cites this paper.

Automated Attention Pattern Discovery at Scale in Large Language Models Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T18:28:06.504743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 29006a2e-7c56-46d0-9ad5-f1ea944bae66 · inbound

From Retinal Evidence to Safe Decisions: RETINA-SAFE and ECRT for Hallucination Risk Triage in Medical LLMs cites this paper.

From Retinal Evidence to Safe Decisions: RETINA-SAFE and ECRT for Hallucination Risk Triage in Medical LLMs Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T22:20:47.382585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bd5efcc4-0795-4786-b318-12e7137cda55 · inbound

RAGognizer: Hallucination-Aware Fine-Tuning via Detection Head Integration cites this paper.

RAGognizer: Hallucination-Aware Fine-Tuning via Detection Head Integration Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:43:01.907093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 52b8a065-86c0-49c7-9c6a-585b4e3ca086 · inbound

Adversarial Humanities Benchmark: Results on Stylistic Robustness in Frontier Model Safety cites this paper.

Adversarial Humanities Benchmark: Results on Stylistic Robustness in Frontier Model Safety Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T12:01:06.457753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9952dde5-85bd-4e14-a92b-fc158d7e509c · inbound

The Surprising Universality of LLM Outputs: A Real-Time Verification Primitive cites this paper.

The Surprising Universality of LLM Outputs: A Real-Time Verification Primitive Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T00:11:14.814764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c5bd176c-48cb-4307-b17a-1c457f84bd89 · inbound

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs cites this paper.

HalluScan: A Systematic Benchmark for Detecting and Mitigating Hallucinations in Instruction-Following LLMs Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:50:28.092245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2ed499b3-60b6-4374-9c97-137e185477f5 · inbound

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction cites this paper.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-08T18:13:53.744885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cf49cb19-b8b6-444a-8106-579d17add529 · inbound

Hallucination Detection via Activations of Open-Weight Proxy Analyzers cites this paper.

Hallucination Detection via Activations of Open-Weight Proxy Analyzers Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T02:45:58.143721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 40905d0f-b01d-48b3-b2ce-18c19b728011 · inbound

All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs cites this paper.

All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 169

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:52:57.514655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a89c86ac-dbfc-4db6-bdc8-18b1de6adcde · inbound

Does Bielik Know What It Doesn't Know? Activation Dispersion Separates Entity Familiarity from Factual Reliability Across Model Scale cites this paper.

Does Bielik Know What It Doesn't Know? Activation Dispersion Separates Entity Familiarity from Factual Reliability Across Model Scale Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T18:27:31.309389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c2d9a60e-877c-45ba-8b2b-cda24874c80c · inbound

Graded Entity-Familiarity Readouts in Language Models: Polish Adaptation, Cross-Language Robustness, and Refusal Steering cites this paper.

Graded Entity-Familiarity Readouts in Language Models: Polish Adaptation, Cross-Language Robustness, and Refusal Steering Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T04:52:39.429749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.