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Paper Citation Record · LEDGER

Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2504.07097.

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

pith.paper-citation-record.v1
2504.07097 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:26:24.611370Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:36:56.945120Z

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 de13e88d-162a-4a1e-a37a-cd011c925352 · inbound

Pioneer Agent: Continual Improvement of Small Language Models in Production cites this paper.

Pioneer Agent: Continual Improvement of Small Language Models in Production Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-11T06:05:57.209920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-10T17:48:40.520740Z digest=sha256:7c06751837917da2641f136d6e688132501654a6e12d99e6f3e6aea5b64a2682

Observation 449225b1-f57f-4f72-8f10-0c9e3d72f5f4 · inbound

Hidden Failure Modes of Gradient Modification under Adam in Continual Learning, and Adaptive Decoupled Moment Routing as a Repair cites this paper.

Hidden Failure Modes of Gradient Modification under Adam in Continual Learning, and Adaptive Decoupled Moment Routing as a Repair Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:16:09.464938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T12:23:27.911085Z digest=sha256:cff9e43e7711e068cd2086efda1da2d74a9a84cd1014688ad2435bc80c6f4c87

Observation 81c4ad6d-3e3a-4043-b62d-9a08e0e84c95 · inbound

Hidden Failure Modes of Gradient Modification under Adam in Continual Learning, and Adaptive Decoupled Moment Routing as a Repair cites this paper.

Hidden Failure Modes of Gradient Modification under Adam in Continual Learning, and Adaptive Decoupled Moment Routing as a Repair Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T15:45:03.448398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T15:45:03.448398Z digest=sha256:3da9f50d33e686bf52179f74d7be800ea17f41aa6724f05fbdf212aff4aaca58

Observation f4527207-05ea-4dd8-9507-941d1a833de2 · inbound

Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less cites this paper.

Optimizer-Model Consistency: Full Finetuning with the Same Optimizer as Pretraining Forgets Less Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:26:08.634575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-08T12:00:49.127471Z digest=sha256:e3163e4a83cb3f0035b16a797fde296e06fe1aef9a1c64683e62c9411ae2c378

Observation ea7af9ab-6d5b-4642-ad09-a39f2b6c88d6 · inbound

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning cites this paper.

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:16:16.373812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T02:12:25.713592Z digest=sha256:58561c30a0b3699f812867efb66b77be7004165a227b51dbe7ae8967c62db09d

Observation 70a08281-3a03-43bd-a63a-d174cbfe3508 · inbound

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning cites this paper.

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-19T15:12:37.484794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-19T15:11:43.827012Z digest=sha256:44298cf5fbc1b54e57870ecb7bcc8f38f898541532cd3906aa6c89027a3ac306

Observation 91722a24-52a3-471a-8695-bbdad7b4ef3a · inbound

Rotation-Preserving Supervised Fine-Tuning cites this paper.

Rotation-Preserving Supervised Fine-Tuning Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:27:24.419090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:7a699224b3b86db5dca164456fc0b294f698c02f3b2a5aca33285fc27a62a714

Observation 4e2e6226-12ce-4173-b19d-8fc8aa715c1e · inbound

TailLoR: Protecting Principal Components in Parameter-Efficient Continual Learning cites this paper.

TailLoR: Protecting Principal Components in Parameter-Efficient Continual Learning Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T12:36:56.946676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-06-28T01:59:15.682726Z digest=sha256:3ac4521971713e7ad3269c9c9843eedacfc2885d869269853f32c61f4f8f63b6

Observation 8f910338-c48d-48e9-b6c5-fcaaeac7bb67 · inbound

Omega-S: A Functional Resilience Index for LLM Fine-Tuning cites this paper.

Omega-S: A Functional Resilience Index for LLM Fine-Tuning Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T10:26:24.611370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:26:24.611370Z digest=sha256:87a3fadca5996a5f237beab469103a80e66df9ecc83f8add498cf6b985ab4d17