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Paper Citation Record · LEDGER

Prompting as Scientific Inquiry

As of 7 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 1 inbound Pith citation observation for arXiv:2507.00163.

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

pith.paper-citation-record.v1
2507.00163 v2

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:25:08.594822Z

measured 33 of 33 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T22:03:52.672777Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:27:14.892486Z

Reference resolution

32 of 32 outbound references displayed

  • verified exact4
  • verified fuzzy9
  • unresolved18
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 34d53a82-4c0f-4e3f-8344-7b874d948f2f · outbound

This paper cites The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A".

Prompting as Scientific Inquiry The Reversal Curse: LLMs trained on "A is B" fail to learn "B is A"

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.462817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.462817Z digest=sha256:faa3e7eae89ac293bc0cee7afbb95840a6fa2f094afc4b01fed95d39dd427960

Observation a888327e-ac61-4c55-8151-be6a269a09cc · outbound

This paper cites Trenton Bricken, Aditya Templeton, Jonathan Batson, Brittany Chen, Adam Jermyn, et al.

Prompting as Scientific Inquiry Trenton Bricken, Aditya Templeton, Jonathan Batson, Brittany Chen, Adam Jermyn, et al

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.472606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.472606Z digest=sha256:79fe4010c69688c69a932239dc92423729b8c960dddea6b7fb4724c9a8d150ec

Observation 4d1219b5-7c98-4e79-9a03-62af443f3cbd · outbound

This paper cites Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al.

Prompting as Scientific Inquiry Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:09.254348Z

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=pdf_text observed=2026-08-06T21:25:08.477461Z digest=sha256:4551074b2699ba2b3fff5145b73d84337581129829d706c711f5b48ba2a82c9a

Observation 627a3cb7-6c1a-47db-ac86-307f3cf54126 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Prompting as Scientific Inquiry DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.501391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.501391Z digest=sha256:3cf0e8067364e6821dcc4ce8e128e513b3b980721c0caf44c6739ba98a76c798

Observation 2944d7c0-1570-4ee7-b869-a250d97d33af · outbound

This paper cites We Can't Understand AI Using our Existing Vocabulary.

Prompting as Scientific Inquiry We Can't Understand AI Using our Existing Vocabulary

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.505585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.505585Z digest=sha256:d0ad0ea353a47e2834425ff94c2f92d844faf23f621a022dd7c6ca3f94da16d6

Observation beb5f85c-abc9-4581-919f-f0dea99e62c2 · outbound

This paper cites Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?.

Prompting as Scientific Inquiry Generative Models as a Complex Systems Science: How can we make sense of large language model behavior?

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:25:08.934088Z

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=pdf_text observed=2026-08-06T21:25:08.510362Z digest=sha256:5f73b44ea3993886baec8cbd4076f371be2f215218b4448d23a707cf97f4e141

Observation a40141bf-cdfe-476d-a41b-3ea757c19975 · outbound

This paper cites Prompt-Hacking: The New p-Hacking?.

Prompting as Scientific Inquiry Prompt-Hacking: The New p-Hacking?

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:25:08.895530Z

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=pdf_text observed=2026-08-06T21:25:08.519219Z digest=sha256:22d971fa37462e8a229ca73b0a9481d8d4b94f9adedd54775e117df052209742

Observation ee6e4e36-4505-4088-a258-cdf9b78204ae · outbound

This paper cites LLMs Get Lost In Multi-Turn Conversation.

Prompting as Scientific Inquiry LLMs Get Lost In Multi-Turn Conversation

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.523803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.523803Z digest=sha256:3ea0d1801dbafc810f45e01a5c11b4b1dbdd46bbd3a0e4a719d3b5f1f8407102

Observation f4709a09-c3ed-4279-ae15-1d9873bf5319 · outbound

This paper cites Mitigating the alignment tax of rlhf.

Prompting as Scientific Inquiry Mitigating the alignment tax of rlhf

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:09.238936Z

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=pdf_text observed=2026-08-06T21:25:08.528378Z digest=sha256:caf8520e21bd847329c61b86b6865e7f23a42a184057091fc2b7f728a1724236

Observation c24cf370-9781-4ded-b06f-561bea3646b4 · outbound

This paper cites Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig.

Prompting as Scientific Inquiry Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig

Reference 19

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T21:25:08.856869Z

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=pdf_text observed=2026-08-06T21:25:08.537185Z digest=sha256:c240b64e9ed6401039e7621e6c416e2fd0f5d606e5062f6622f6063d2d40d922

Observation 810a9f4d-9169-4752-94ce-35d662ad3d08 · outbound

This paper cites Prompting Science Report 1: Prompt Engineering is Complicated and Contingent.

Prompting as Scientific Inquiry Prompting Science Report 1: Prompt Engineering is Complicated and Contingent

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.546384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.546384Z digest=sha256:a1e8b2a4b66ecb7ee4fed356db7b9337efffef084b6d516359030c0ea8393035

Observation fd6496c4-160e-4f7f-a8cc-a9f3fa1c5dd6 · outbound

This paper cites Rethinking the role of demonstrations: What makes in-context learning work? In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pp.

Prompting as Scientific Inquiry Rethinking the role of demonstrations: What makes in-context learning work? In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pp

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.550622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.550622Z digest=sha256:163ae09e8877b95ad1ec84db2797a1a089002d521844f26cbbdbd98cbcea7390

Observation 29adc7dc-2282-4a9c-9631-0cd8d4844111 · outbound

This paper cites Progress measures for grokking via mechanistic interpretability.

Prompting as Scientific Inquiry Progress measures for grokking via mechanistic interpretability

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.555342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.555342Z digest=sha256:48084aa4e7c32387f9c971422589f9df3d1026408051d110605d2a2dc919551b

Observation 98df33d9-fe1d-4cb7-afa0-7a5221e17495 · outbound

This paper cites Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al.

Prompting as Scientific Inquiry Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:09.197927Z

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=pdf_text observed=2026-08-06T21:25:08.559666Z digest=sha256:d269be7bc92e2e61203b2310981d87dd1eecd27b8b984e7c2566eb8575cda773

Observation ff41e61b-766f-4041-a24f-b844fb5c9680 · outbound

This paper cites Sparse Autoencoders Trained on the Same Data Learn Different Features.

Prompting as Scientific Inquiry Sparse Autoencoders Trained on the Same Data Learn Different Features

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.563819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.563819Z digest=sha256:bc61d1a6bd5385acc28844763aec9aae51f45a6a3e36df3534922d439c8ce922

Observation 7a310efb-7ba6-42b2-a6d7-371901a0244a · outbound

This paper cites David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, and Samuel R Bowman.

Prompting as Scientific Inquiry David Rein, Betty Li Hou, Asa Cooper Stickland, Jackson Petty, Richard Yuanzhe Pang, Julien Dirani, Julian Michael, and Samuel R Bowman

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:09.182181Z

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=pdf_text observed=2026-08-06T21:25:08.568575Z digest=sha256:e38ea4ea9a68485870aa12639f2cff990f1fde8fc5578a7e5364dcd5fa2a5f64

Observation bd3efe15-0c6d-418c-90b1-d19b235da009 · outbound

This paper cites Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks.

Prompting as Scientific Inquiry Toward Transparent AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.572907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.572907Z digest=sha256:7ffe8694dfefc862f118338982e3aff408b8c22993c46151de16010acef30619

Observation 9131bbd9-8713-4f06-ae32-917435f2921e · outbound

This paper cites Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, and Michael Young.

Prompting as Scientific Inquiry Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, and Michael Young

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:09.165991Z

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=pdf_text observed=2026-08-06T21:25:08.577611Z digest=sha256:a1ff3db5490801bc623bc53c78906c434df7b1ff742c5eac17bf80bdd0f0cf2e

Observation b4a654ce-c68b-4c16-ba2d-83e54138e864 · outbound

This paper cites doi: 10.1145/3709599.

Prompting as Scientific Inquiry doi: 10.1145/3709599

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.582259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.582259Z digest=sha256:8e3f635628702b847b99ba3dcf217b7ccc23ff5fc6223cf4d4a121028ba86c78

Observation e4a78043-3753-4523-923e-ac7ba8cb8874 · outbound

This paper cites On the Diversity and Limits of Human Explanations.

Prompting as Scientific Inquiry On the Diversity and Limits of Human Explanations

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:25:08.681213Z

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=pdf_text observed=2026-08-06T21:25:08.586273Z digest=sha256:9c0a531958f0e21e15aa491d0f3dd3f6a2422a42f4e2a6ac6588187b9b7eb425

Observation 85fe6d97-1a3a-42dd-ac0d-4a79a8596ae2 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Prompting as Scientific Inquiry Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.590342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.590342Z digest=sha256:78f258fc0cc8246c87ba75502860a2bd082f9049116e43ec967615672aa7509d

Observation f2c5506f-8a36-4463-a86f-c82791fa258d · outbound

This paper cites Universal adversarial triggers for attacking and analyzing nlp.

Prompting as Scientific Inquiry Universal adversarial triggers for attacking and analyzing nlp

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:09.149584Z

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=pdf_text observed=2026-08-06T21:25:08.594822Z digest=sha256:1d1fb0f3406c3675203f361ca7b7a5e5a229db604281d4ab9850624c073e2134

Observation 28e05726-6bb8-47ca-ae39-f637f05b72b9 · outbound

This paper cites Towards principled evaluations of sparse autoencoders for interpretability and control.

Prompting as Scientific Inquiry Towards principled evaluations of sparse autoencoders for interpretability and control

Reference 2006

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:09.224179Z

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=pdf_text observed=2026-08-06T21:25:08.541324Z digest=sha256:b6099570211f6b2ba479e26df4ea06bec5aa9bfc123a04fe2aac53509ae542e5

Observation f33cd9a8-f5cd-411c-ba58-cdc7889bfb7e · outbound

This paper cites Language Models Use Trigonometry to Do Addition.

Prompting as Scientific Inquiry Language Models Use Trigonometry to Do Addition

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.514828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.514828Z digest=sha256:a4ede5ad34072ef3ab694d5c008b5e968c7496c84642ca5ad76bf937d1761187

Observation ea968b97-304d-423d-b5cf-1bb66b030712 · outbound

This paper cites an unresolved cited work.

Prompting as Scientific Inquiry Unresolved cited work

Reference 2018

Resolution
verified exact
doi, observed 2026-08-06T21:25:08.643175Z

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=pdf_text observed=2026-08-06T21:25:08.533068Z digest=sha256:d258f010c8c8e7a4a0d0089bd87b1f3493fbfabe2790117c8a71eb8d5f7a3d65

Observation 4d906eb8-32db-420a-8fce-d3a6ee48509f · outbound

This paper cites Language models as agent models.

Prompting as Scientific Inquiry Language models as agent models

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:09.283518Z

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=pdf_text observed=2026-08-06T21:25:08.452220Z digest=sha256:97f4dda832f91c2870734db2251811b227c46474e3385b3e3d0d3951de8a6527

Observation d3fe4030-21c1-468a-9241-de2b35a9130c · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Prompting as Scientific Inquiry Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.481904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.481904Z digest=sha256:e72d6b683c4ccf0e708665cd17bebe60cf28b4f3e0c9598a44123a283e08d475

Observation 4c0b5663-a3ea-4897-b2a5-b7456e7d9226 · outbound

This paper cites Scaling and evaluating sparse autoencoders.

Prompting as Scientific Inquiry Scaling and evaluating sparse autoencoders

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.491339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.491339Z digest=sha256:acd2443dc59804e7fbec31a7962e8c0cf7ec53a3b15836fa6ec7daa28094caf8

Observation e18fe89b-abf3-479f-9245-85d8b0ca4bfb · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Prompting as Scientific Inquiry Constitutional AI: Harmlessness from AI Feedback

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.457164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.457164Z digest=sha256:aaed8e4c1c3b627de346d3cfa05f3b0aa0c8be05f663a0289ba531c9ecdd592f

Observation eb7cf6b4-d8f4-4447-a848-dc34fc7cac27 · outbound

This paper cites The values encoded in machine learning research.

Prompting as Scientific Inquiry The values encoded in machine learning research

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:25:09.269158Z

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=pdf_text observed=2026-08-06T21:25:08.467930Z digest=sha256:5b40bbb8e8f5ea1bafe0888cefd3f2276389c404b361b015e55d9c6bf29a8df9

Observation 36b542c3-46dd-4ae6-a934-281739214d72 · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

Prompting as Scientific Inquiry Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.486706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.486706Z digest=sha256:0b4aea6511d397346279695518164b9571e553847906c0d491f43d7b3424cb92

Observation 657ad2b4-06a1-49ca-9bc5-671194875d54 · outbound

This paper cites HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation.

Prompting as Scientific Inquiry HyPerAlign: Interpretable Personalized LLM Alignment via Hypothesis Generation

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T21:25:08.496563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:25:08.496563Z digest=sha256:b2753ebf07a565da5c3dc4d1406c12300f8ca15ad96c2ada9e1c8ca2c3a1451c

Pith citing papers

Observation 88d54847-5562-46a1-9689-b003e26b8861 · inbound

Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification cites this paper.

Supervision versus Demonstration-Based In-Context Learning for Multiword Expression Classification Prompting as Scientific Inquiry

Reference 180

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:27:14.894013Z

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=2026-06-27T22:03:52.672777Z digest=sha256:dc6d8f9a4041a9ec54a59fc99abddbea544921af9a30fc134505ab135e2499f0