Paper Citation Record · LEDGER

RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.11919.

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

pith.paper-citation-record.v1
2412.11919 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:06:05.273622Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T16:06:46.049466Z

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 addc5623-1c1c-4225-a737-cb059e54c873 · inbound

Search-o1: Agentic Search-Enhanced Large Reasoning Models cites this paper.

Search-o1: Agentic Search-Enhanced Large Reasoning Models RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-13T17:36:27.557179Z

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 e3a615b3-2233-4cd4-bde9-fd8ec97578b7 · inbound

ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.

ZeroSearch: Incentivize the Search Capability of LLMs without Searching RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-17T17:44:13.502092Z

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 6e915c3f-8ba6-4759-8de3-a8b8b166596a · inbound

ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.

ZeroSearch: Incentivize the Search Capability of LLMs without Searching RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-22T16:06:46.052602Z

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 3575f901-c584-4012-9934-210449d77720 · inbound

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning cites this paper.

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning RetroLLM: Empowering Large Language Models to Retrieve Fine-grained Evidence within Generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:06:05.273622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.