Paper Citation Record · LEDGER

Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2307.05052.

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

pith.paper-citation-record.v1
2307.05052 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:59:01.383144Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T01:22:04.082494Z

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 5e7afb30-c687-403f-b863-edfd25a825ab · inbound

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models cites this paper.

HallusionBench: An Advanced Diagnostic Suite for Entangled Language Hallucination and Visual Illusion in Large Vision-Language Models Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-17T01:22:04.088142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5a57571f-151d-43c5-a9ec-307b5951a2de · inbound

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation cites this paper.

Chain-of-Thought in Large Language Models: Decoding, Projection, and Activation Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T21:59:01.383144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8b78eeb-1b91-40b1-9bd1-c77964d6d63b · inbound

Reassessing the Role of Chain-of-Thought in Sentiment Analysis: Insights and Limitations cites this paper.

Reassessing the Role of Chain-of-Thought in Sentiment Analysis: Insights and Limitations Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T20:24:41.223436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a988456a-bc3c-4453-ab99-a5d266d9f8fe · inbound

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing cites this paper.

LLaMAs Have Feelings Too: Unveiling Sentiment and Emotion Representations in LLaMA Models Through Probing Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps

Reference 1751

Resolution: unresolved; no resolver link, observed 2026-08-07T15:03:01.430394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7a77d57-617b-4efd-b089-147ff07fa3dd · inbound

Towards Transparent AI: A Survey on Explainable Large Language Models cites this paper.

Towards Transparent AI: A Survey on Explainable Large Language Models Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T22:22:41.830262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 968da0e3-82e1-4ce6-80ae-1ba1a71e18e2 · inbound

NEAT: Concept driven Neuron Attribution in LLMs cites this paper.

NEAT: Concept driven Neuron Attribution in LLMs Towards Understanding In-Context Learning with Contrastive Demonstrations and Saliency Maps

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T18:01:19.657440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.