Paper Citation Record · LEDGER

When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2402.11457.

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

pith.paper-citation-record.v1
2402.11457 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 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:50:39.311498Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:39:30.308654Z

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 2a6ede6c-8427-4e3e-87ec-11f4bad444d8 · inbound

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG cites this paper.

Divide-Then-Align: Honest Alignment based on the Knowledge Boundary of RAG When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:50:39.311498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f921bb9-e4a2-49d9-9005-30064ede32e4 · inbound

Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking cites this paper.

Rethinking LLM Parametric Knowledge as Post-retrieval Confidence for Dynamic Retrieval and Reranking When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T23:34:29.815099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edb78c84-ff8e-4752-b10e-5ddc60dfbbd5 · inbound

Batch-of-Thought: Cross-Instance Learning for Enhanced LLM Reasoning cites this paper.

Batch-of-Thought: Cross-Instance Learning for Enhanced LLM Reasoning When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T17:18:09.651325Z

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 4bfec926-42eb-4ed6-8160-a0eddc2b7339 · inbound

Evaluating and Calibrating LLM Confidence on Questions with Multiple Correct Answers cites this paper.

Evaluating and Calibrating LLM Confidence on Questions with Multiple Correct Answers When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T03:32:46.085420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6174d86c-c5db-440f-b52e-0c3e7dd74081 · inbound

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification cites this paper.

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation

Reference 35

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:31:30.545788Z

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 8f49b3bc-55f7-4971-895e-a7610b88cfb1 · inbound

Can LLM Rerankers Predict Their Own Ranking Performance? cites this paper.

Can LLM Rerankers Predict Their Own Ranking Performance? When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T05:16:39.625618Z

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 bb41366c-3067-4530-a7b3-74b6cb22d0a9 · inbound

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA cites this paper.

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:39:30.310553Z

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.