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Paper Citation Record · LEDGER

Prompting as Scientific Inquiry

As of 15 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 2026-08-15T06:32:42.880941+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=sha256:090c0775d0f45a96452082297023084e12e764d9a729b83b38658582cddd7a9c

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=sha256:7604e6de3426f76ca1e9121fd2322f60e877b418257b8661cafe47436cf917eb

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:25:08.477461Z digest=sha256:fd1568a5dd8cc915d79d1bae5d77ab3308c832431379e539481165d9c2417562

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=sha256:3952db8c343cba226626f8d1973013ad621822a361043764253e2660b18275de

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:c63e4991ad9690c5ace4924a38075c4f0f4205ae4dd7a39a44fd99b315299aaa

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:25:08.510362Z digest=sha256:13b704013ea2c034d00efb37e2700e62621dcf1d7dccda989525d25b70201289

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:25:08.519219Z digest=sha256:4830ccd7bc6319005af866a0e12214ca36514ae1e908efa114ed21b200c842b9

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:facd9d9475d780984c8d14f1aa8136b797d02f8ef202b6f7376fc9f0ef24716c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:25:08.528378Z digest=sha256:3a975a5bccaa303ff141abca2efedf477d6e8101209374ee233186bb130d472f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:25:08.537185Z digest=sha256:eaddf3897fe6f1870100d839ce769884e015defe419fcf192f2463b5222b7ec2

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:a4553ac2b3f512355a286088aa7cc3d06b041402e9888d8f13a6cc64a22e081d

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=sha256:05481a29ee825dac8fbd3f4cf54839a11f4e9430c70d8a009f4538a849196175

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=sha256:51931ee3265230506722ac7a295f17b43462c6dd2147d7c6d9d83423b3575a1b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:25:08.559666Z digest=sha256:916e5a5aff1a24a3fc4afdac6a12b38d55c962fc7d03995ecb2caf3b14393310

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:b5399e1f897d14a85588de8db302cf28d3b5e81a378ef8fba466f458aaa0c640

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:25:08.568575Z digest=sha256:0629fef5dd1295e1926415882e528e8c0b7d821fb547667b78912c872729b8d6

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=sha256:83f0fb086a18b9a21fe46371685fdcf37f91ca7bd929d98c37223a63084521b3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:25:08.577611Z digest=sha256:70e84110188e3151514cdf72af032fca4d4b4cf51ce638f251fd3db751a4be22

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=sha256:7b570563439e9dbc986fdf6ea1f86fd61b8ca1270caaf4f38985795d780d640b

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:25:08.586273Z digest=sha256:55ab9e5494217599cbed63785f2769877fa39161c7bd6fa656f05c4443063420

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=sha256:3cd644718faa8459a2e4f8695a768a21a7d9ebbd4bd6f5f28cef6d70266eddc2

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:25:08.594822Z digest=sha256:add306f35ac9c12dfb5d52ed19a6df4a846cfc24d2888d83d6e280a571582aac

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:25:08.541324Z digest=sha256:5f7a976a8cbe78daaacbbd115feadd3fa622678cd2b1b5d10d388a5b6d865a91

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=sha256:3bb05afc620f30a1bf71bd369b50f3cdd9aba713c7172d6334abf094799b56b5

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:25:08.533068Z digest=sha256:0d166fe0545a42e6ae48b0b328f9291776e339fbcf516918142e385bc9450305

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:25:08.452220Z digest=sha256:98f3d00fc4ff70fa3fd30b3e4d18293fdd89b53cd4da020c4b8d741910472f18

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:b7bbe0a45a89b029d125cb36b3b43be5166ad5217ac7412452891ca8412e69bc

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=sha256:0aa7acf3a3d25ecac6cb371ccbecfbf6a8d6d7a92026dc3b915e8b2c7094ee88

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=sha256:65dbb2fe90d7ab1c483a9482e79d956d733ad550bf144dd616f4b96dfd2d80c3

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-06T21:25:08.467930Z digest=sha256:b2aa947a8b0445c3dadf63223909e4434437b4f6a3171c0c70a83bd99980499b

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=sha256:1043f99f3179c8d0959c52f329370253fbd4b0b4206a34b7d677038ba68dd4e5

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:dd267b0ab9777cb60765c25d5188ab38b316bd103868086aacad02a57cf0fbd5

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-06-27T22:03:52.672777Z digest=sha256:5775515c6f4e70b301e123ec6e3fe5fb4c2200e8da03c827de1b4676bbd27a53