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Paper Citation Record · LEDGER

Auto: The AGI Compiler

As of 10 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.04542.

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

pith.paper-citation-record.v1
2607.04542 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T17:40:19.452782Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 24cb89cb-adae-4b90-9240-d40674139ce3 · outbound

This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

Auto: The AGI Compiler A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:a82670fc6530b2175573cf01272d6fbcbd10eac99517bfc252c6e881371a11e2

Observation 6c3998af-dc84-46e1-9179-24c5f799e2c6 · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

Auto: The AGI Compiler FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:578762aad4dee6ebf2120dde0cb5de12f1bf8b51eedff1f619fa2562cd74b7c6

Observation dd392c9c-d313-4b40-83d8-95a5b7243517 · outbound

This paper cites Language Model Cascades.

Auto: The AGI Compiler Language Model Cascades

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:2e7fb7d039138836f4c4ec6f880a4e1f89940ce586df06c28a44ce4cc5757ace

Observation 7aff3d24-964a-4c1e-bc9d-ba5ee9d46846 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Auto: The AGI Compiler Distilling the Knowledge in a Neural Network

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:e800f8b4cff1bcc0f60a9a8005aea140a6aafad969450d0bcf62fa3bafab95f8

Observation 714aaf4c-0eb6-4e3b-9966-d8e55cb8f466 · outbound

This paper cites Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes.

Auto: The AGI Compiler Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:8513e5c58db13b66a4d29f6da327dcc6968b9fa330d57bdd7e7aeb4bf0a59f48

Observation 2179263b-13d4-4bf6-b02c-c619dddfe2d2 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Auto: The AGI Compiler SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:2cb3418e4e0237ba93ce61f6d42fc39eb0173a42f0f8ca817443023f6cd03ab3

Observation 757066ea-628c-4a1c-8b65-6f5bb31c0805 · outbound

This paper cites An LLM Compiler for Parallel Function Calling.

Auto: The AGI Compiler An LLM Compiler for Parallel Function Calling

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:0d45795dbe48d6877a57fc988b7eb050e385b27d5c1f564d71f920f9cedbae8c

Observation 3db1fc12-a052-43d6-ac72-91b3485b1caf · outbound

This paper cites Fast Inference from Transformers via Speculative Decoding.

Auto: The AGI Compiler Fast Inference from Transformers via Speculative Decoding

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:9e91dab27ee6272f18d7a0e2447ca201941311802221f2702a1b45aec10f740d

Observation 95c9464b-3c22-46fe-b508-cd8e77f79312 · outbound

This paper cites AgentBench: Evaluating LLMs as Agents.

Auto: The AGI Compiler AgentBench: Evaluating LLMs as Agents

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:1a6b19884d27978a6bdf0aafe3897d77f9276df992e590a689e4d4e1e858716d

Observation 55950b71-a299-4a29-b71b-7099642ab83b · outbound

This paper cites RouteLLM: Learning to Route LLMs with Preference Data.

Auto: The AGI Compiler RouteLLM: Learning to Route LLMs with Preference Data

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:847c0632b468e35164a32f28d236da356bef93a49b08d88761928cb14f9aaf22

Observation 2e51e3c4-fc89-4296-bf84-50a0fda22ae4 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

Auto: The AGI Compiler MemGPT: Towards LLMs as Operating Systems

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:4a1d0b4e17d677969c79635150ffd00eb2e80b7090c80f519db19ab69e731dec

Observation d7536bc0-ee7f-4f76-8343-7a2af434ae04 · outbound

This paper cites Gorilla: Large Language Model Connected with Massive APIs.

Auto: The AGI Compiler Gorilla: Large Language Model Connected with Massive APIs

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:46ae5abbd2c8611974cf3ba3cab5711320a728a6bd98c5e11725f5d79d6ae453

Observation de7bec5c-b354-4816-a087-27eecab5825f · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

Auto: The AGI Compiler Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:517f9bef90cbae3ca98ea2c82c3f4ef7e746ef4af3a8af0dbbab017c1c69cf03

Observation 40707952-6750-4111-86a9-07080ff15252 · outbound

This paper cites Voyager: An Open-Ended Embodied Agent with Large Language Models.

Auto: The AGI Compiler Voyager: An Open-Ended Embodied Agent with Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:3846ff6ee54e3c06a64c051477ba741c505b92a7c241b6d00aadeb2c819b4277

Observation cd3d93f3-1ef0-4067-a70b-4432f8e3f33d · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

Auto: The AGI Compiler ReAct: Synergizing Reasoning and Acting in Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:60606b4cca759ab5693df0927461c78ee999934ab670030e20f2e5abd5e3c411

Pith citing papers

No inbound Pith citation observations are available.