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Paper Citation Record · LEDGER

RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.05212.

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

pith.paper-citation-record.v1
2306.05212 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:55:18.371738Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T11:35:30.155940Z

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 1c422184-c52c-4317-8541-552c5e691684 · inbound

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective cites this paper.

Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T20:55:18.371738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:55:18.371738Z digest=sha256:6778d5bfbd4bc99204b46aa80c4b66d901b62166e78ee8d384e45754ea9eef91

Observation e95fc217-cc23-4b3e-9890-f705c2e2e7e0 · inbound

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning cites this paper.

Elevating Legal LLM Responses: Harnessing Trainable Logical Structures and Semantic Knowledge with Legal Reasoning RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-08T11:35:30.161979Z

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.

source=arxiv_source observed=2026-08-08T11:35:30.012614Z digest=sha256:f1a20c116e198359012efb31f7d5b3f5e0ae3f37f716ecc432abdc070c6f59b5