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Paper Citation Record · LEDGER

Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.02344.

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

pith.paper-citation-record.v1
2411.02344 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:37:13.038657Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T15:33:25.700169Z

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 4dfe7392-4c4f-4440-8190-4cf9cad4a226 · inbound

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers cites this paper.

Planning vs Reasoning: Ablations to Test Capabilities of LoRA layers Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T17:37:13.038657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:37:13.038657Z digest=sha256:94b80aecab8d20f2c2cfe73ccb35ba25d64d391cab41ef22ae78213b9d41124f

Observation 81d8eaf0-dc23-4ec8-aed1-48e9f08d6cb9 · inbound

You Do Not Fully Utilize Transformer's Representation Capacity cites this paper.

You Do Not Fully Utilize Transformer's Representation Capacity Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T22:19:19.329231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T22:19:19.329231Z digest=sha256:72099c0412932e5e9c645b435e91b5a6f2ec0983fbfc877743314e7e087a158c

Observation 6d9c8a95-1b1c-4648-b9c4-6f9f74ace8bc · inbound

Scale Determines Whether Language Models Organize Representation Geometry for Prediction cites this paper.

Scale Determines Whether Language Models Organize Representation Geometry for Prediction Seq-VCR: Preventing Collapse in Intermediate Transformer Representations for Enhanced Reasoning

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:33:25.702823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T15:29:49.147997Z digest=sha256:6034754c65b5901bc0717bdf40237068f258aa9308940e0977e6c77993b9ded1