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Paper Citation Record · LEDGER

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

As of 13 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-10T17:48:40.520740Z digest=sha256:28803f5acd219efad4ce2bda87b85c0b162a277050acc002ab6bbad8e3e757c2

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T12:23:27.911085Z digest=sha256:a67bcb5fc1f0612e886e39e9eecd897d40ee3132a934989471dbec50faee478e

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=sha256:2c15ceabb4756011e9beb503f3236e3aa0a16e8ecdaeb6b5e8fc7da6b258c6a1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-08T12:00:49.127471Z digest=sha256:7d0c5ce13a756207c00558e86ee1ba95ef82523efda609b0c883bc04a783418e

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T02:12:25.713592Z digest=sha256:03ae911b208a5ed92a8640d1fca7ccbae52deb024e0bee8914c3694385e545a1

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-19T15:11:43.827012Z digest=sha256:737784f0b01b4d280e4ffe2512f0d0ba09ed4e7f027e37d01c85738a815d599c

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-13T06:26:20.393476Z digest=sha256:0f488f6434a962d7e68727c60f6f59c4ef565427013953a852023e91986f8920

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-06-28T01:59:15.682726Z digest=sha256:3c2905c3af93592ee65098266451eea90aa7e6c94de8da10eaeebf406b141258

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:dbab22f1f02e9e992fbb5b22c5fa7f1e73cdcf9cb25d17a1e9ab2763b29bf288