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Paper Citation Record · LEDGER

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop

As of 20 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 2 inbound Pith citation observations for arXiv:2506.10021.

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

pith.paper-citation-record.v1
2506.10021 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:42:20.344745Z

measured 27 of 27 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T02:15:50.014951Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T02:16:42.435564Z

Reference resolution

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy13
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 654c31a9-93d6-45f7-bbaa-f988e46d5dd7 · outbound

This paper cites Programs with common sense.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Programs with common sense

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:20.577625Z

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=2026-08-07T05:42:20.273469Z digest=sha256:0b15c2eb77fffd78e4262a966b62bb2f29fa5cf824da8d3b27015ea489e567dc

Observation 4eb8258f-bbac-40b4-8b3f-af13c8fb2fe6 · outbound

This paper cites Recursive functions of symbolic expressions and their computation by machine, part i.Communications of the ACM, 3(4):184–195, 1960.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Recursive functions of symbolic expressions and their computation by machine, part i.Communications of the ACM, 3(4):184–195, 1960

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:20.568131Z

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=2026-08-07T05:42:20.277760Z digest=sha256:67a5265afece90dd6ae9f48545b73f59d958221bcd0b0ede0090001334f9ff4e

Observation 465b53fe-4e3d-4bbc-bbf6-60988641eb25 · outbound

This paper cites Procedures as a representation for data in a computer program for understanding natural language.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Procedures as a representation for data in a computer program for understanding natural language

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:20.558968Z

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=2026-08-07T05:42:20.280986Z digest=sha256:3c8f739e30b34e8c5fa5f901de622af387b05dcea8c8b10302e2f3fd9a8269cd

Observation 50a35343-cd3d-4c44-8084-aef949889e81 · outbound

This paper cites A framework for representing knowledge.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop A framework for representing knowledge

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:20.549386Z

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=2026-08-07T05:42:20.284412Z digest=sha256:d8b938b831db694e5ab738046da913f8e33133e209e01e9804f230fbe5219d87

Observation bb62a9db-8747-4d7e-b6a8-22a7724a2213 · outbound

This paper cites North-Holland, 1984.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop North-Holland, 1984

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:20.540563Z

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=2026-08-07T05:42:20.287820Z digest=sha256:8cead3f11b679af70cc5e4114a2f44b0c59e68bf713546fa98b3f9945a632275

Observation 3e4bad8f-4a05-4354-a797-8681f6c41880 · outbound

This paper cites An introduction to lambda calculi for computer scientists.Electronic Notes in Theoretical Computer Science, 125:1–57, 2005.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop An introduction to lambda calculi for computer scientists.Electronic Notes in Theoretical Computer Science, 125:1–57, 2005

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:20.531263Z

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=2026-08-07T05:42:20.290915Z digest=sha256:a0acf336db0d65d883236ca004d8c3738b552555513fcaa73046d3d4d29532b8

Observation 85fc09bb-fc9a-4a80-bd04-847adbd0fa14 · outbound

This paper cites Review of: Rule-based expert systems: The mycin experiments of the stanford heuristic programming project.Artificial Intelligence, 1985.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Review of: Rule-based expert systems: The mycin experiments of the stanford heuristic programming project.Artificial Intelligence, 1985

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:20.522292Z

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=2026-08-07T05:42:20.294655Z digest=sha256:b2bab7d9b02cb240457a3f42ddfd3301b7bab5154b392a1a544b29be0d166042

Observation 480a17cf-dfc2-4364-9c52-e06ea6795eae · outbound

This paper cites Digital Press, 1990.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Digital Press, 1990

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:20.512385Z

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=2026-08-07T05:42:20.297260Z digest=sha256:168433734c4dc528b91b715a28fe7efd04ba4652029d7e9d1d04d89b82fdde04

Observation d3211290-a3b9-44ae-8c8c-8df65b752a4f · outbound

This paper cites The perceptron: a probabilistic model for information storage and organization in the brain.Psychological review, 65(6):386, 1958.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop The perceptron: a probabilistic model for information storage and organization in the brain.Psychological review, 65(6):386, 1958

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:20.299878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:20.299878Z digest=sha256:df799db2fbbcfdd74fb1df481cbb5b8388ba619ae984f035dd85b27e1e5dd0e6

Observation 0530646c-e6ca-4258-a0a9-4f2e06e6df14 · outbound

This paper cites MIT press, 1992.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop MIT press, 1992

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:20.494747Z

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=2026-08-07T05:42:20.302528Z digest=sha256:9ed3b2169de1a276ea7c87ea938c9e13492da4981c286ae4d14a8a2969dc8723

Observation ee71f829-8ca7-49cc-81fa-1c0e43ae5a0a · outbound

This paper cites Learning representations by back-propagating errors.nature, 323(6088):533–536, 1986.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Learning representations by back-propagating errors.nature, 323(6088):533–536, 1986

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:20.305359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:20.305359Z digest=sha256:07b398c49e67cbbd97335e7c9aed6a91545ad4cadd9410f1c14439018030158e

Observation eb8940fd-9f89-4eeb-8c95-acd7f6055e26 · outbound

This paper cites Reducing the dimensionality of data with neural networks.science, 313(5786):504–507, 2006.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Reducing the dimensionality of data with neural networks.science, 313(5786):504–507, 2006

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:20.308013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:20.308013Z digest=sha256:215f7af0f9a7ae1e248d6634dc694843587b3c85b0d3dec42f6a0b793e16ad9d

Observation 0ffa0b05-4ebf-477f-a18e-a531ee75b728 · outbound

This paper cites Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25, 2012.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Imagenet classification with deep convolutional neural networks.Advances in neural information processing systems, 25, 2012

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:20.311050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:20.311050Z digest=sha256:dfc885b2e7026c6bc102ce4472e71a49ffcb470bdccb9922e9da86fa6fc4510b

Observation b9b7f9b5-ff55-4841-8329-1381c7858696 · outbound

This paper cites Attention is all you need.Advances in Neural Information Processing Systems, 30, 2017.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Attention is all you need.Advances in Neural Information Processing Systems, 30, 2017

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:20.313498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:20.313498Z digest=sha256:8107b14802ff35ecd1298aa1b786649f4abeb1cd4f79a087b2dc66d66be8eba3

Observation fd6221aa-9ee9-4fa3-93aa-6e49c46cb64d · outbound

This paper cites Improving language understanding by generative pre-training.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Improving language understanding by generative pre-training

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:20.461424Z

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=2026-08-07T05:42:20.316127Z digest=sha256:e1388c0148fc6d5065e820d4559de45ad9390af0a127904f2ed7351942b38673

Observation 91ee3d2b-795d-4f6e-a182-1b914f41390c · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI Blog, 1(8):1–9, 2019.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Language models are unsupervised multitask learners.OpenAI Blog, 1(8):1–9, 2019

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:20.452065Z

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=2026-08-07T05:42:20.318967Z digest=sha256:f0c4966afba30ebe353a94db8cd9aae8d470d62dda0472b678fc231a1aa71bf7

Observation a9cbdb85-e1e3-4057-838d-249343405cc0 · outbound

This paper cites Scaling Laws for Neural Language Models.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Scaling Laws for Neural Language Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:20.321793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:20.321793Z digest=sha256:ac42701540ee339b0ee74953225b86200bd626d151cbbc5288f2b15d35e824e1

Observation 9476c6c6-536c-4002-8ffd-58d7aa1eac75 · outbound

This paper cites Language models are few-shot learners.Advances in Neural Information Processing Systems, 33:1877– 1901, 2020.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Language models are few-shot learners.Advances in Neural Information Processing Systems, 33:1877– 1901, 2020

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:20.442635Z

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=2026-08-07T05:42:20.325005Z digest=sha256:5172cc9fd7528da1a369d1267bd835724f9875f22db011b6581dd776c5f2591a

Observation 337ccbea-fca8-4709-9d53-6e75f926cfe2 · outbound

This paper cites Deep reinforcement learning from human preferences.Advances in Neural Information Processing Systems, 30, 2017.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Deep reinforcement learning from human preferences.Advances in Neural Information Processing Systems, 30, 2017

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:20.327915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:20.327915Z digest=sha256:542e31c78c6e11ebe9f49ffbb8a1549f238cd6b5962278a3ef2ff31fe4658467

Observation d0eb6cc5-5a9d-471c-b346-a23ba9a29ec1 · outbound

This paper cites Learning to summarize with human feedback.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Learning to summarize with human feedback

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:42:20.424895Z

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=2026-08-07T05:42:20.330641Z digest=sha256:5b6f0f5c55a6334108c2ed92f6c45a80e1e1d4a0ee8367d8601f21df51d8877a

Observation 410daeaa-fdb2-408c-8658-9768e2086c3c · outbound

This paper cites Training language models to follow instructions with human feedback.Advances in Neural Information Processing Systems, 35:27730–27744, 2022.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Training language models to follow instructions with human feedback.Advances in Neural Information Processing Systems, 35:27730–27744, 2022

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:20.333505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:20.333505Z digest=sha256:4685d8a545477d4d87a52b4511472b4a6c180e664866bf5790b45b42b7606677

Observation 74eacc15-a830-4ccd-bf33-2c5d4dd1fa0c · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Constitutional AI: Harmlessness from AI Feedback

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:20.336181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:20.336181Z digest=sha256:30fddc3eec0080e03640e63bc52e0023e86d21c2153946a81c9184f2fe54c90e

Observation 2965600d-725c-49b8-a671-b21a695e6458 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Chain-of-thought prompting elicits reasoning in large language models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:20.338953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:20.338953Z digest=sha256:d1dc049c5b8b55dd3048cfca670af1df38af16b598d98d076295c3c1a4d96318

Observation dc7cf954-4c79-44f0-a026-b6e1da4bc1b9 · outbound

This paper cites Multitask Prompted Training Enables Zero-Shot Task Generalization.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Multitask Prompted Training Enables Zero-Shot Task Generalization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:20.341586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:20.341586Z digest=sha256:8c266537b1d538b29a256a24aec690513881c34fd294cf5d45e3dadeadb126b3

Observation 66ff001c-54de-4d20-9f25-38780ca16ddf · outbound

This paper cites Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents.

From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T05:42:20.344745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:42:20.344745Z digest=sha256:d9f5b8aac30807cad4032d2ff9862cef516e5b6014a85c5034a7f555eddd9bd2

Pith citing papers

Observation 54c0f2b8-9d6a-43e4-99c4-9678c426897b · inbound

The Biomimetic Architecture of Software 4.0 cites this paper.

The Biomimetic Architecture of Software 4.0 From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-02T00:16:24.489146Z

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=2026-06-28T13:31:34.982169Z digest=sha256:893c3037a91eafb96bc1689e9ef2ae43522a109023d4b3742f7b3568795288f6

Observation 64296af7-76d2-4408-b418-f8960f836766 · inbound

Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows cites this paper.

Workflow as Knowledge: Semantic Persistence for LLM-Mediated Workflows From Tool Calling to Symbolic Thinking: LLMs in a Persistent Lisp Metaprogramming Loop

Reference 18

Resolution
metadata mismatch
local_arxiv, observed 2026-07-10T02:16:42.436869Z

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=2026-07-10T02:15:50.014951Z digest=sha256:66d728844b956e43b5867842fad6542d8e935b87d038a78c45848a75055e1213