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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:21:10.899497Z

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T23:51:50.163520Z digest=sha256:1938f10150665c236077369d0c35d85a95c9aebb5d90bcd2dabebbe8bb62b96e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T20:45:31.427677Z digest=sha256:17118858bdce80cfbf1640d1ecba8e3be401f413c229cafb0e8a67becb189037

Observation 63c724cb-ff8b-4a32-98a9-9ec77507f620 · inbound

A Large Language Model-Empowered Agent for Reliable and Robust Structural Analysis cites this paper.

A Large Language Model-Empowered Agent for Reliable and Robust Structural Analysis Full Parameter Fine-tuning for Large Language Models with Limited Resources

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T22:21:10.899497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:21:10.899497Z digest=sha256:6590d37ab5b82630da667fbfeec8482072043f6137cc751cbcee07569e193fab

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=sha256:6458fc1ca29818988ff70a0c930360ccad8216b2595c912072bd699da6ba69de

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=sha256:27b662d3e24c8eeba6d255f45b17679af0755ce0e527d89bdcf1d74916ff7e99

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=sha256:17856bb5e7f0bf77bc1c93145e06c6e14be014b6f5bd2f26725fd8c7b12f4e76

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=sha256:0d2e2b8fee3e6d83037a01ae1e393fd179510bfdd24439f14b20f119b577d6b7

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=sha256:829978b97b5ac8518dd656ef5ca1ea30c58d89b245179384105cb2aa1e8726c7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T18:51:18.466788Z digest=sha256:79eeeab5d48fb53165d398704bf438fea1a162637bfa1b061955d4942158eb2b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T06:21:59.735341Z digest=sha256:4d142440d83b623f3746549c60113b69439449cdf5b78f8a0c0c93e5b0c8177c

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T17:19:59.247074Z digest=sha256:2c42c24c8e0949a327ad1dedc8d70a5382107ab26656fecc17babcf43029413c