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Paper Citation Record · LEDGER

Full Parameter Fine-tuning for Large Language Models with Limited Resources

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2306.09782.

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

pith.paper-citation-record.v1
2306.09782 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:22:29.189182Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:45:48.885676Z

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 3cd73f03-6e99-4b6f-9946-04cdd52c9687 · inbound

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection cites this paper.

GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection Full Parameter Fine-tuning for Large Language Models with Limited Resources

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:51:50.251397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-16T23:51:50.163520Z digest=sha256:ea4d40188d01cdbcc59c5047fdcff1bdf299eda3dfcf2dec64633c6ac67002a6

Observation 671738de-d351-4a27-b967-585eccb6ef81 · inbound

Optimization Hyper-parameter Laws for Large Language Models cites this paper.

Optimization Hyper-parameter Laws for Large Language Models Full Parameter Fine-tuning for Large Language Models with Limited Resources

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:45:48.888996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-23T20:45:31.427677Z digest=sha256:26ef1dd5d03a6e143b96f482527059449ad92e559878d3cb234d03961878447c

Observation 4d214fb6-5379-4175-8923-b9e70a1cf8b4 · inbound

When Transformers Meet Recommenders: Integrating Self-Attentive Sequential Recommendation with Fine-Tuned LLMs cites this paper.

When Transformers Meet Recommenders: Integrating Self-Attentive Sequential Recommendation with Fine-Tuned LLMs Full Parameter Fine-tuning for Large Language Models with Limited Resources

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T19:22:29.189182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:22:29.189182Z digest=sha256:09682cd154bf7f07953e5ca368dcfb401098627a6ca2342f9326d9e4abafc752

Observation 0372d93c-a3bf-4537-be03-11b1c195e63c · inbound

Time Series Foundation Models for Multivariate Financial Time Series Forecasting cites this paper.

Time Series Foundation Models for Multivariate Financial Time Series Forecasting Full Parameter Fine-tuning for Large Language Models with Limited Resources

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-06T18:49:25.726546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:49:25.726546Z digest=sha256:c113e5f65e3178f6bf090538cbccda1e651bbcd59ac865d5c4e42f05431fbe04

Observation aa8b78af-79f6-4412-8c45-a7c3df309054 · inbound

Low-rank Momentum Factorization for Memory Efficient Training cites this paper.

Low-rank Momentum Factorization for Memory Efficient Training Full Parameter Fine-tuning for Large Language Models with Limited Resources

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T18:35:40.193728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:35:40.193728Z digest=sha256:5104c1c2c64d2adddad1ada3f5979dec023582ccb1b22067630bf2447f3d956c

Observation 34f0cf21-466d-4a48-b1f9-8c0bd254a029 · inbound

SVAgent: AI Agent for Hardware Security Verification Assertion cites this paper.

SVAgent: AI Agent for Hardware Security Verification Assertion Full Parameter Fine-tuning for Large Language Models with Limited Resources

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:33.000104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:22:33.000104Z digest=sha256:0c6a04a2a8a667662e733614c292a06c291326882de55de66d3f299961423b79

Observation 4310bf94-4d72-42f8-ba77-0f554f6a5502 · inbound

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models cites this paper.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Full Parameter Fine-tuning for Large Language Models with Limited Resources

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T11:10:16.458083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:10:16.458083Z digest=sha256:ba0ce850a936829443390e31283e56bb27c1dc9363e9d47796b076dd4d33b048

Observation 96ef28e7-a304-45d7-97b6-74c9564ba4ed · inbound

EAPO: Enhancing Policy Optimization with On-Demand Expert Assistance cites this paper.

EAPO: Enhancing Policy Optimization with On-Demand Expert Assistance Full Parameter Fine-tuning for Large Language Models with Limited Resources

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-04T14:44:14.782933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T14:44:14.782933Z digest=sha256:f9a2341c40f72580f32d28805a19e8ee07a905be3f7b4b760876ae817e2e18cd

Observation 96ac6457-49d0-44e7-b881-7ebf5e6d27e8 · inbound

Constraint-Driven Warm-Freeze for Efficient Transfer Learning in Photovoltaic Systems cites this paper.

Constraint-Driven Warm-Freeze for Efficient Transfer Learning in Photovoltaic Systems Full Parameter Fine-tuning for Large Language Models with Limited Resources

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:50:52.545894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T18:51:18.466788Z digest=sha256:5e8a25e31b80a56b122ce3f6c6dd2c97e05cce2e42b3e9e2835dd2fd10296174

Observation 75cee458-e7b8-4c30-863d-25ef289863a8 · inbound

Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization cites this paper.

Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization Full Parameter Fine-tuning for Large Language Models with Limited Resources

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:26:27.682081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-10T06:21:59.735341Z digest=sha256:a15a3c063ffbddb56851c65a810d19b8039e3308f3d05f56e9798af7e63e30e6

Observation fd9239f6-9844-4350-93d0-bd5729dca9e2 · inbound

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning cites this paper.

MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning Full Parameter Fine-tuning for Large Language Models with Limited Resources

Reference 161

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:01:11.882878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-10T17:19:59.247074Z digest=sha256:c68b1ae4c4a034e9bb5d6e8a1179f33caf32e4176c71fa40a99bdd907a71b942