Paper Citation Record · LEDGER

Preserving Diversity in Supervised Fine-Tuning of Large Language Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2408.16673.

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

pith.paper-citation-record.v1
2408.16673 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:49:58.103306Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d39273c0-e2cc-422c-87ef-52d08b815b97 · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 110

Resolution: unresolved; no resolver link, observed 2026-08-11T22:57:01.794115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 069842ce-92a8-4b49-a5d6-f936ac791023 · inbound

The Price of Format: Diversity Collapse in LLMs cites this paper.

The Price of Format: Diversity Collapse in LLMs Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 2012

Resolution: unresolved; no resolver link, observed 2026-08-07T14:26:54.370218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7489688-7b8b-40ac-a258-ad77e3a60e29 · inbound

Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections cites this paper.

Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:54:49.789457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8bc92661-9452-4ddb-8023-0ea1e05792dd · inbound

Proximal Supervised Fine-Tuning cites this paper.

Proximal Supervised Fine-Tuning Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-18T20:42:50.911875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 12dcd533-12d3-4efd-8ae2-85c5e8b1fe88 · inbound

AAPA: Adversarially Anchored Preference Alignment for Post-Training of Large Language Models cites this paper.

AAPA: Adversarially Anchored Preference Alignment for Post-Training of Large Language Models Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T15:49:58.103306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd60545a-13ec-499a-b286-b236fd2f3ecf · inbound

Agentic Reasoning for Large Language Models cites this paper.

Agentic Reasoning for Large Language Models Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 231

Resolution: verified exact; arxiv_id, observed 2026-05-17T15:14:26.291241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a94e5761-366d-49d5-a994-e8ec1e812a07 · inbound

Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models cites this paper.

Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T05:28:13.692784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a4fba0c-935c-4824-9fa9-82de6c5492c5 · inbound

GFT: From Imitation to Reward Fine-Tuning with Unbiased Group Advantages and Dynamic Coefficient Rectification cites this paper.

GFT: From Imitation to Reward Fine-Tuning with Unbiased Group Advantages and Dynamic Coefficient Rectification Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T12:50:25.797475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 369dbe8c-c147-46d5-bf26-054e0bd7f0a2 · inbound

Diversity in Large Language Models under Supervised Fine-Tuning cites this paper.

Diversity in Large Language Models under Supervised Fine-Tuning Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-09T20:37:32.121081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 17b506e7-58dc-4c97-ba94-70978163dd18 · inbound

Diversity in Large Language Models under Supervised Fine-Tuning cites this paper.

Diversity in Large Language Models under Supervised Fine-Tuning Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:11:18.202035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 577db776-cf3a-43ff-9d93-f3984d75868c · inbound

Self-Consolidating Language Models: Continual Knowledge Incorporation from Context cites this paper.

Self-Consolidating Language Models: Continual Knowledge Incorporation from Context Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:20:57.870044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 61f1b2a5-2580-4c7e-8f03-af428296c6a0 · inbound

Self-Consolidating Language Models: Continual Knowledge Incorporation from Context cites this paper.

Self-Consolidating Language Models: Continual Knowledge Incorporation from Context Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-13T07:57:31.532861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cbcddc21-6c03-4b60-9fd0-4b03b4ddcf26 · inbound

Annotations Mitigate Post-Training Mode Collapse cites this paper.

Annotations Mitigate Post-Training Mode Collapse Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:46:51.299112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 99ceac8e-cbba-46fd-b818-31b079f9a72a · inbound

Selective Off-Policy Reference Tuning with Plan Guidance cites this paper.

Selective Off-Policy Reference Tuning with Plan Guidance Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:47:05.228838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c860045c-631d-467a-b615-9ad8d4f6e97f · inbound

Selective Off-Policy Reference Tuning with Plan Guidance cites this paper.

Selective Off-Policy Reference Tuning with Plan Guidance Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:22:59.388253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 95274453-4a93-425c-9b30-dc2bd42e0e77 · inbound

RAFT: Data Refinement and Adaptive Distillation for Domain Fine-Tuning with Alleviated Forgetting cites this paper.

RAFT: Data Refinement and Adaptive Distillation for Domain Fine-Tuning with Alleviated Forgetting Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T00:02:49.588763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 692e0b15-8492-4b6d-b3d7-e111f4107020 · inbound

BaRA: Bayesian Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning cites this paper.

BaRA: Bayesian Adaptive Rank Allocation for Parameter-Efficient Fine-Tuning Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:04:28.497310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f85fdf8e-bbee-47d3-9028-4bcd64ee1471 · inbound

When Reasoning Narrows the Move: Diversity Collapse in LLM Game Play cites this paper.

When Reasoning Narrows the Move: Diversity Collapse in LLM Game Play Preserving Diversity in Supervised Fine-Tuning of Large Language Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-01T12:36:11.617634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.