Pith. sign in

Paper Citation Record · LEDGER

Prompting as Scientific Inquiry

As of 20 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 2026-08-20T06:33:59.587034+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=sha256:86b93c339b31503cb3df28d0efeb6aabb1cd665dfd6e035c12e0361b0c292115

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:08.477461Z digest=sha256:07688b673978270dbf580312e15b9dc14532e3d2d2575c8a2574b5fbd308088d

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:08.510362Z digest=sha256:6458c279b3922a19592b90adf8b84f2b957a6aa0fb549fd8c653bad9cc7e6e47

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:08.519219Z digest=sha256:ce2f8a42d7c605249e730d7b0d4b405ff70a78533a59df700fd02b1a298b85a5

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:08.528378Z digest=sha256:0e111644a37ffedb546e4a596f25aad24cb7d4136f280197b75b036d4bdfb7eb

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:08.537185Z digest=sha256:69aaf046a914b311a5946b0522b34a0aac3f25ab66465232df47fc0d08737515

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=sha256:1a94bb54523d1db54efef3a918c693658886c22094a3adb0bb91606aea83679e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:08.559666Z digest=sha256:15fa284170e978640d809a00cbde9dd445fa5e5ce80d8fccb26c51548b403af1

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=sha256:6312fc238a80796816241e03211937f9847bdf0248a698ba6e279a684193d930

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:08.568575Z digest=sha256:9e07c3f31f994a416792d70d3fb4911dc77498ac6ac4f0c4e18f789f90a82b9c

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=sha256:7a23779738a7bf1588176c1861fac872c3e212c2d65526b43ba12b5f08a27ee7

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:08.577611Z digest=sha256:b70318b6cb11a9f9f09799b4c5252a76b06b13bf00e76ce17b7313fd524e291e

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:08.586273Z digest=sha256:b51d51f07916945c33efff80079689b539b21a6ac9364684530d389832a749ae

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:08.594822Z digest=sha256:ff95e98a4748809279ac08ed69ad728a053f0718cf04f91bc2c9e4b18d8a81d6

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:08.541324Z digest=sha256:ad2f931e88a5c27cd7bb6e0b207dbcd520d96828e52a6f5abaf8eb1ec90ff460

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=sha256:76385a5324031bdcca6f97fd52d21c4f9828476099e4f2a6b78fce7f09c25112

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:08.533068Z digest=sha256:13492f4d19e56d2e8b10d0118ef20d0eee8e6f0abae25daeaa62c23ba6d9b706

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:08.452220Z digest=sha256:8188ea38eab74e49d5231e2a49adfa8679bd5a73014fe85b5b073c20291405ef

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=sha256:4d51d8be43ff7f2a2a92f328a26f56f9a260c3096e4623e5b289e3f39f481066

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:e9bdbbfdf79be81862c62d258f0d116b0c5e8f1c9b1f0933a591fbeac991345c

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T21:25:08.467930Z digest=sha256:d2d816ac0efb164b7d723d082a654939098f56d8c131c0f6ce62ff05c60b998c

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=sha256:874b1aeb9e7d366f8c5c7750b319393b440b4affebcd7af6293730a4df3ecb9c

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=sha256:5a513b524b7999f81825a9bf86ae8bb2069b8f9e2fda88ce77275a1d6b4ad276

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-27T22:03:52.672777Z digest=sha256:f8e21f75da17e3c0f9e1a435aabf4073edce78ccdfb505dcde8f5a57ab6f0e87