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Paper Citation Record · LEDGER

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View

As of 20 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2509.00905.

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

pith.paper-citation-record.v1
2509.00905 v2

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:10:08.496959Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0550d885-a986-433b-9c1b-76d6f049dd03 · outbound

This paper cites a photo of a [CLASS].

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View a photo of a [CLASS]

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:10:08.837219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:10:08.496959Z digest=sha256:5e0d9410601bc5c6604c53c170a5de1c4fa27f79b5789e7e0ab3a51d460a6711

Observation 05a88bac-ae81-4763-bae9-a7b5065400f2 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 512

Resolution
unresolved
no resolver link, observed 2026-08-05T13:10:08.432800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:10:08.432800Z digest=sha256:8e8e5fef08d2a51f02edb9318b5c5f3cad9bc1658fdb3414bf7289a4f77ef6bd

Observation 32157197-eeb8-42da-9cb7-34184c6c83da · outbound

This paper cites an unresolved cited work.

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View Unresolved cited work

Reference 2009

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:10:08.882210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:10:08.467687Z digest=sha256:041b8f4a15e8694de0b686a67f24913ba159cb7b6b07bb7427c44248283daebe

Observation 0b323828-aa86-4537-a2ab-ddb3640d5c7a · outbound

This paper cites an unresolved cited work.

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View Unresolved cited work

Reference 2012

Resolution
unresolved
raw_fallback, observed 2026-08-05T13:10:08.858678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:10:08.482059Z digest=sha256:b66d51553b03ba429dce31ddc6a30eca9324709d5463a2bf7f933f59b03dc607

Observation 0cf64225-bdd0-4e2b-aeb3-454ee3f5ce53 · outbound

This paper cites LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation.

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View LLaMP: Large Language Model Made Powerful for High-fidelity Materials Knowledge Retrieval and Distillation

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-05T13:10:08.197899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:10:08.197899Z digest=sha256:c76863b08afd07a0ca2d19b66044ec623201b35a7a3805ccfd214d01f9bc7d5f

Observation 454a6a94-47a7-43b2-b957-040826e5a419 · outbound

This paper cites In Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition workshops, pages 24–25.

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View In Proceed- ings of the IEEE/CVF conference on computer vision and pattern recognition workshops, pages 24–25

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:10:08.910219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:10:08.450706Z digest=sha256:1baca322c69c52fe8ea2a5217906d2c59b8a11dc48cfbad473ed6f866a27e530

Observation 7c5153b2-2117-4405-8cbb-33b1d2d1d2ad · outbound

This paper cites Open-vocabulary Object Detection via Vision and Language Knowledge Distillation.

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-05T13:10:08.367331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:10:08.367331Z digest=sha256:3541e08d1fda3bc0e05ad7d951967575c8317db4eb9231bdd7fe5cdc9240c4fe

Observation b1820228-e14c-42f1-b288-ca23d8e414ab · outbound

This paper cites Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification.

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View Vision-Language Model Fine-Tuning via Simple Parameter-Efficient Modification

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-05T13:10:08.427622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:10:08.427622Z digest=sha256:30892a5d12cb4d3439c355ca27d2d17e7d0d7275d7f881525622957002bcdc49

Observation 708b6a16-347b-4a2a-9de1-902acac377d0 · outbound

This paper cites In The IEEE/CVF Conference on Computer Vision and Pat- tern Recognition.

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View In The IEEE/CVF Conference on Computer Vision and Pat- tern Recognition

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T13:10:08.930310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:10:08.420836Z digest=sha256:9a96eda4b243b18a4030f7e531b4795c1c1e078ebcb276a343345d9ad63c5b80

Observation 94320936-31e6-4c19-aaf1-50df699d323f · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View LLaMA: Open and Efficient Foundation Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T13:10:08.442173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:10:08.442173Z digest=sha256:6072e0b79110aceaa43a6025d64f7a64b6f450ab0f00783ac44a41dff8066dc7

Observation 91c422c3-30c2-4d60-9ce7-a1008c2cd39a · outbound

This paper cites GOAL: Global-local Object Alignment Learning.

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View GOAL: Global-local Object Alignment Learning

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T13:10:08.782130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:10:08.315433Z digest=sha256:18fe141d18bd3f03e1ec0b1483750f15a6cdb406ca85790df237991ffdd34c60

Observation 16e6e79f-f76e-41ff-a211-4485e1f0b307 · outbound

This paper cites TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning.

Spotlighter: Revisiting Prompt Tuning from a Representative Mining View TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning

Reference 3492

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T13:10:08.593689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-05T13:10:08.459814Z digest=sha256:f50afa5760aec76fd8c4fa6cb3afc6cf666dcaf53c2d30baf579c8b602128c8d

Pith citing papers

No inbound Pith citation observations are available.