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Paper Citation Record · LEDGER

Crowd-SFT: Crowdsourcing for LLM Alignment

As of 19 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2506.04063.

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

pith.paper-citation-record.v1
2506.04063 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:54:09.057081Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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 fuzzy5
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1108cd90-5802-4740-ac3c-6e1f77a773c9 · outbound

This paper cites Aligning Large Language Models with Human: A Survey.

Crowd-SFT: Crowdsourcing for LLM Alignment Aligning Large Language Models with Human: A Survey

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:09.009992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:09.009992Z digest=sha256:639637e72044253e36f209bce3a8683c51de81a789216f3b2583a03ff83a266c

Observation ef7b58ca-d551-4fcd-bb97-aa7a6aee3c69 · outbound

This paper cites Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

Crowd-SFT: Crowdsourcing for LLM Alignment Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:09.014935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:09.014935Z digest=sha256:bebdf92a785c7c9dd61433f9211f7f31814ce53a03d9b5965d2185206c97e31d

Observation ecb28396-5b80-47b1-9aee-b0ee156f5fc7 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Crowd-SFT: Crowdsourcing for LLM Alignment Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:09.019298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:09.019298Z digest=sha256:671b9d6097fbff1b3c7ae446cf73159c8e1bc3e692bf651267dab82242ea6ad6

Observation 53cdb275-16dc-43c6-87e9-07c87b799284 · outbound

This paper cites Training language models to follow instructions with human feedback.

Crowd-SFT: Crowdsourcing for LLM Alignment Training language models to follow instructions with human feedback

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:09.023487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:09.023487Z digest=sha256:65a84ea96e1629d5f099010be95bbd1842be2063af33684352014463429d3089

Observation 4101a02d-f1dc-411d-a78a-6ee3c27aa4a3 · outbound

This paper cites Chatbot arena: An open platform for evaluating llms by human preference,.

Crowd-SFT: Crowdsourcing for LLM Alignment Chatbot arena: An open platform for evaluating llms by human preference,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:54:09.399972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:54:09.027924Z digest=sha256:7409f4a4347494fbd84278e8f20a990cc33658a3e0620ee16ae194ce8aadf7da

Observation 5821b9ce-5d41-4e4c-a3e6-db360446cc7b · outbound

This paper cites Varco arena: A tournament approach to reference-free benchmarking large language models,.

Crowd-SFT: Crowdsourcing for LLM Alignment Varco arena: A tournament approach to reference-free benchmarking large language models,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:09.036229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:09.036229Z digest=sha256:48329dca6952a2a2ef81066f905aebc4306b98839e9ee146bf8c3d066a08d6f5

Observation 4d9d2dab-fb6d-48a3-b5dd-5506f69f07dc · outbound

This paper cites A Marketplace for Data: An Algorithmic Solution,.

Crowd-SFT: Crowdsourcing for LLM Alignment A Marketplace for Data: An Algorithmic Solution,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:54:09.385881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:54:09.040724Z digest=sha256:3d6469021af53cd9f0f3cc74cca34e19db8b91116f366390b248fe7a4132bea8

Observation d1be4b5b-3abd-4a55-953d-460c3c3e0ec2 · outbound

This paper cites Transparent Contribution Evaluation for Secure Federated Learning on Blockchain.

Crowd-SFT: Crowdsourcing for LLM Alignment Transparent Contribution Evaluation for Secure Federated Learning on Blockchain

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:54:09.371614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:54:09.045195Z digest=sha256:74488983b6b134c753936ac20e6308aeffff4b31002e27694e498c75a7c247a8

Observation d4f94772-cda4-4135-9d8d-2f81c1057e97 · outbound

This paper cites GoEmotions: A Dataset of Fine-Grained Emotions.

Crowd-SFT: Crowdsourcing for LLM Alignment GoEmotions: A Dataset of Fine-Grained Emotions

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:09.049004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:09.049004Z digest=sha256:6701b528b38e7198cc5a0ea32ee5a6e50ea82ccf46d0f36178999e41265b78ec

Observation ea271138-0b12-4b1e-86b5-abe4b65135b5 · outbound

This paper cites A unified approach to interpreting model predictions,.

Crowd-SFT: Crowdsourcing for LLM Alignment A unified approach to interpreting model predictions,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:54:09.357244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:54:09.053029Z digest=sha256:96758e0ae398a8688e6350e160e8c292db13ab78e79063161f36899f8892721c

Observation c637766c-bf90-47e5-a962-9d7b2dcbb64e · outbound

This paper cites Improving kernelshap: Practical shapley value estimation using linear regression,.

Crowd-SFT: Crowdsourcing for LLM Alignment Improving kernelshap: Practical shapley value estimation using linear regression,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:54:09.342502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T10:54:09.057081Z digest=sha256:0a815b175e019bae87a2340a496a012d95654571e6a2f93f600536c03f7b138d

Observation c04f2e30-1765-450f-920f-8a606dbe9278 · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

Crowd-SFT: Crowdsourcing for LLM Alignment Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:09.032008Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:54:09.032008Z digest=sha256:39805c2cb7650b9733501e385a927abc938459a3d34514954afd45cfd338bd1e

Pith citing papers

No inbound Pith citation observations are available.