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Paper Citation Record · LEDGER

Neural Prompt Search

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2206.04673.

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

pith.paper-citation-record.v1
2206.04673 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:01:00.056496Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:01:09.511283Z

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 89153dbf-0254-4433-a624-19d90d51a5b2 · inbound

Weight Spectra Induced Efficient Model Adaptation cites this paper.

Weight Spectra Induced Efficient Model Adaptation Neural Prompt Search

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-07T13:01:00.056496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:01:00.056496Z digest=sha256:5b3dc825900d87bd3d3c3419070b8a22d4b304dcaeb10c1f07421791774f9719

Observation 59f6711e-d790-4f7b-83bd-f9871dddc24c · inbound

DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers cites this paper.

DA-VPT: Semantic-Guided Visual Prompt Tuning for Vision Transformers Neural Prompt Search

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-07T12:43:59.183930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:43:59.183930Z digest=sha256:fb50879abf67247d58eaa4c6934d9855bfa59190befb568d240a2f72bd0eb18c

Observation d77fac82-44a4-4399-8190-8b237b154d11 · inbound

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval cites this paper.

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval Neural Prompt Search

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:38.634022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:38.634022Z digest=sha256:595ce52100078f337a3292bf80f5345957aabdf7e9b40a48eda3aadaf9fd2121

Observation 6061fa61-1f73-4733-8b83-5d5ea0a94ae9 · inbound

Regularizing Subspace Redundancy of Low-Rank Adaptation cites this paper.

Regularizing Subspace Redundancy of Low-Rank Adaptation Neural Prompt Search

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-06T13:23:39.820865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:23:39.820865Z digest=sha256:d42122251a2fd7448d55d269c47cd59159d52e6c395bfb699874b50211ec7aeb

Observation e2cfd9c2-46de-44c2-a068-bea81cd73960 · 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 Neural Prompt Search

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:01:09.517308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T17:19:59.247074Z digest=sha256:88c73ab9e145052a1ec5e3414ed19a501f3917df0dd5beb87d8fa0a55c69f5d5

Observation c0c19a0e-6107-412a-8f6e-fb23f488d637 · inbound

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators cites this paper.

Opto-ViT-v2: Noise-Resilient On-Chip Fine-Tuning for Photonic Near-Sensor Vision Transformer Accelerators Neural Prompt Search

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-01T18:01:57.730943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:01:57.730943Z digest=sha256:3023ff8cae76fbb0b97a2748cbca2c4cab71de7be28744efb4fcb727532e5bdb