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Paper Citation Record · LEDGER

Specifications: The missing link to making the development of LLM systems an engineering discipline

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2412.05299.

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

pith.paper-citation-record.v1
2412.05299 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:25:14.738844Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:15:47.138504Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation be38f18a-8efd-4c1e-80e5-e02ddecde328 · inbound

Querying Databases with Function Calling cites this paper.

Querying Databases with Function Calling Specifications: The missing link to making the development of LLM systems an engineering discipline

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T15:25:14.738844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:25:14.738844Z digest=sha256:2c95a54a2596e05bc5fe7ab2700fce63b992eb74592007e3f1fd126ccdc59a53

Observation 49d4eb49-c495-43dc-b917-966d8b5315db · inbound

Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives cites this paper.

Position: Scaling LLM Agents Requires Asymptotic Analysis with LLM Primitives Specifications: The missing link to making the development of LLM systems an engineering discipline

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-09T11:29:21.304144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T11:29:21.304144Z digest=sha256:3b94a33f9c78d08300c06ed7f08249bb9da7ee49af5fee2190adb00e3d31a1e8

Observation ca08acb6-e9c3-4a0f-a3d8-87279c4ffe04 · inbound

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance cites this paper.

Standardizing Intelligence: Aligning Generative AI for Regulatory and Operational Compliance Specifications: The missing link to making the development of LLM systems an engineering discipline

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-09T15:05:24.524347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T15:05:24.524347Z digest=sha256:45f1f7674ff6bde31d06f6e02f43b9080e2738ef27f1500b72c0af74afdbfac4

Observation f67b68d8-dae0-444b-bfcb-58605e6c90cc · inbound

Why Do Multi-Agent LLM Systems Fail? cites this paper.

Why Do Multi-Agent LLM Systems Fail? Specifications: The missing link to making the development of LLM systems an engineering discipline

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:42:58.337875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T05:42:57.561468Z digest=sha256:aa8c2098d3dcf74c85052c6a5d3e15bf07a7137a28c66b8be161180ddd095923

Observation 3fc76d51-5628-45b8-b966-6fea091d39aa · inbound

Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions cites this paper.

Model Context Protocol (MCP) Tool Descriptions Are Smelly! Towards Improving AI Agent Efficiency with Augmented MCP Tool Descriptions Specifications: The missing link to making the development of LLM systems an engineering discipline

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-02T23:04:37.202837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:04:37.202837Z digest=sha256:4a438944da7c16f73b18252f59404efb18b8518abe74c59834f16662d9fa800d

Observation 150ebb66-845b-4abf-a634-a4809332e06b · inbound

Engineering Robustness into Personal Agents with the AI Workflow Store cites this paper.

Engineering Robustness into Personal Agents with the AI Workflow Store Specifications: The missing link to making the development of LLM systems an engineering discipline

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:16:29.814253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T03:32:57.622766Z digest=sha256:2a08a64414fc08a5facf8fc643936822708437eef6d301347376c8d966049d06

Observation 10df9ef3-0fcb-4c6d-bd22-40010ddabef0 · inbound

Engineering Robustness into Personal Agents with the AI Workflow Store cites this paper.

Engineering Robustness into Personal Agents with the AI Workflow Store Specifications: The missing link to making the development of LLM systems an engineering discipline

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-13T03:17:10.798788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T03:17:03.480610Z digest=sha256:7579ff688501ace31e8314360c637e76970e19ad4f03b34fd103f1d86b46ae63

Observation ca33edcf-6e9e-4612-b594-2ffc7f5951e1 · inbound

Engineering Robustness into Personal Agents with the AI Workflow Store cites this paper.

Engineering Robustness into Personal Agents with the AI Workflow Store Specifications: The missing link to making the development of LLM systems an engineering discipline

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:15:47.140051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T22:10:22.013935Z digest=sha256:60c2bf18ff0fc8664743287c859d8e59cab56e3e0f1c7ec8ecfba3285b9b433a

Observation b105e076-7148-4652-8c04-1fcb8e4bcdf7 · inbound

AssumptionMiner: Extracting, Tracing, and Revising Implicit Assumptions in LLM Code Generation cites this paper.

AssumptionMiner: Extracting, Tracing, and Revising Implicit Assumptions in LLM Code Generation Specifications: The missing link to making the development of LLM systems an engineering discipline

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T04:15:28.761034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T04:15:28.761034Z digest=sha256:1484633c1a88f01ca947245c30b975bcec34975f548230020fb31da8643da115