Paper Citation Record · LEDGER

Label Supervised LLaMA Finetuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.01208.

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

pith.paper-citation-record.v1
2310.01208 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T15:54:26.292352Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T21:15:16.297929Z

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 77e4acae-874e-4d27-afd0-781240104eaa · inbound

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models cites this paper.

NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models Label Supervised LLaMA Finetuning

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:15:16.300464Z

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 22513d61-6886-4fb2-8e5e-9e361b703cde · inbound

Can AI Examine Novelty of Patents?: Novelty Evaluation Based on the Correspondence between Patent Claim and Prior Art cites this paper.

Can AI Examine Novelty of Patents?: Novelty Evaluation Based on the Correspondence between Patent Claim and Prior Art Label Supervised LLaMA Finetuning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T15:54:26.292352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e11b69b-6801-498c-a7c2-3aebac4d0f2f · inbound

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models cites this paper.

RetrieveAll: A Multilingual Named Entity Recognition Framework with Large Language Models Label Supervised LLaMA Finetuning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:24:41.919754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a9d59b5-2f6e-49be-a7f3-b9a841bab127 · inbound

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race cites this paper.

Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race Label Supervised LLaMA Finetuning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T12:13:17.913243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91868474-1b18-4b10-a59d-f088821c51a6 · inbound

Low Rank Adaptation for Adversarial Perturbation cites this paper.

Low Rank Adaptation for Adversarial Perturbation Label Supervised LLaMA Finetuning

Reference 88

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T09:41:25.908420Z

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.