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Paper Citation Record · LEDGER

Gradient-based Parameter Selection for Efficient Fine-Tuning

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.10136.

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

pith.paper-citation-record.v1
2312.10136 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:06:09.023142Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T17:33:17.383486Z

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 04a4403c-ac7a-4b23-abcd-0acd4517857d · inbound

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective cites this paper.

Proactive Gradient Conflict Mitigation in Multi-Task Learning: A Sparse Training Perspective Gradient-based Parameter Selection for Efficient Fine-Tuning

Reference 40

Resolution
malformed identifier
no resolver link, observed 2026-08-12T11:06:09.023142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:06:09.023142Z digest=sha256:dadb465e2f18a0de4aedd0b23bef898ce4c4073e22c8becc5ff01c91a8fcb53b

Observation 377bd2eb-7d7c-4b5e-b12c-445cb009b6ce · inbound

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation cites this paper.

GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation Gradient-based Parameter Selection for Efficient Fine-Tuning

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-05T17:33:17.487998Z

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=2026-08-05T17:33:17.178516Z digest=sha256:7cae36eeb94a81c88f458dd176575e8e23f694dff39a5bc359c6fc7ffdcf3f32