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Paper Citation Record · LEDGER

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

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:04:37.202837Z

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 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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T05:42:57.561468Z digest=sha256:031d262d4f589c0d57980ffb4e454c207c75510fadc272c01ff5b6565ed0af8b

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-12T03:32:57.622766Z digest=sha256:5f0b9020abe51d4d81c24699a39e67a4dd7c5a49b009620d8d96eb34e92a10bc

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T03:17:03.480610Z digest=sha256:115dc5c93e0ef0eb61937d572091d081d3cd9654d271b8d42efa0eadd7c78ae9

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 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-30T22:10:22.013935Z digest=sha256:d39bec8cf1a4da41cce46ca64303359b7b6fede53c0cc6fb52024a0df66cc2c5

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