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Paper Citation Record · LEDGER

LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.12420.

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

pith.paper-citation-record.v1
2306.12420 v2

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 2026-08-12T13:34:48.965055Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T02:38:53.879161Z

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 5e41114d-4857-432e-9fe4-75e731cf2093 · inbound

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena cites this paper.

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-10T18:52:59.174675Z

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.

source=pdf_text observed=2026-05-10T18:52:59.033645Z digest=sha256:93cf5e4b226c7d9e5610ce7328fc420fbc6080cd625e1bc1d0738a86a0b62c83

Observation 1b5bb2c8-2174-4ea5-a394-f1f6a68db120 · inbound

LLM Augmentations to support Analytical Reasoning over Multiple Documents cites this paper.

LLM Augmentations to support Analytical Reasoning over Multiple Documents LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T13:34:48.965055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:34:48.965055Z digest=sha256:e945dfd3af8058aee90ef9f9e89d6b8056d40e27f131a0073adfa76a58bc2bbb

Observation b7cd108c-ddff-4e4b-b8bf-87b8520b8174 · inbound

BiasFilter: An Inference-Time Debiasing Framework for Large Language Models cites this paper.

BiasFilter: An Inference-Time Debiasing Framework for Large Language Models LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T13:21:26.487728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:21:26.487728Z digest=sha256:1573b19982e5ff81b6e9ae52b13ec467aa8514058e712ccd5913908d4c981aef

Observation de70d4bc-8d86-47df-af47-c7217b5aa2ed · inbound

PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models cites this paper.

PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-17T02:38:53.881392Z

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.

source=arxiv_source observed=2026-05-17T02:38:11.118057Z digest=sha256:96ea9a43f333cacfeca30fb1a833b45f08e61f6c95077694bb75530419b0d8a2

Observation a1bda050-708a-4797-a3b0-117e47b907f1 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

Reference 114

Resolution
unresolved
no resolver link, observed 2026-07-11T13:53:36.775836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T13:53:36.775836Z digest=sha256:3d23d49cd550a5aeca7009126f09a5f07aed5ae7461e6a1b8c972e1bc3439682

Observation 576b49c8-8333-4902-a123-ebe79cb27db8 · inbound

Multi-Turn On-Policy Distillation with Prefix Replay cites this paper.

Multi-Turn On-Policy Distillation with Prefix Replay LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

Reference 115

Resolution
unresolved
no resolver link, observed 2026-08-02T08:40:45.230704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T08:40:45.230704Z digest=sha256:283a7ed8ffa29773ef0c32632bb96a4bdf767f800acd681a91e760846f9977ac