Paper Citation Record · LEDGER

GenQA: Generating Millions of Instructions from a Handful of Prompts

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2406.10323.

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

pith.paper-citation-record.v1
2406.10323 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:36:17.982647Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T22:05:05.834308Z

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 217d6053-41cf-44db-9aa0-61c61ed15de9 · inbound

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing cites this paper.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:58:36.802882Z

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.

Observation 7d0f51cc-0aa7-41e0-a5f3-3eed092805ae · inbound

GenAI Content Detection Task 2: AI vs. Human -- Academic Essay Authenticity Challenge cites this paper.

GenAI Content Detection Task 2: AI vs. Human -- Academic Essay Authenticity Challenge GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T04:53:50.393696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de36bd11-9ed6-400a-94f3-3128d04b1a67 · inbound

ESC-Judge: A Framework for Comparing Emotional Support Conversational Agents cites this paper.

ESC-Judge: A Framework for Comparing Emotional Support Conversational Agents GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T20:36:17.982647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 363d877d-4e92-41a7-ac51-4bbce35aff6f · inbound

RAD: Redundancy-Aware Distillation for Hybrid Models via Self-Speculative Decoding cites this paper.

RAD: Redundancy-Aware Distillation for Hybrid Models via Self-Speculative Decoding GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:20:27.547714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0038ccda-7977-4d22-928b-75fbc3ad31fe · inbound

Zero-Shot Vision Encoder Grafting via LLM Surrogates cites this paper.

Zero-Shot Vision Encoder Grafting via LLM Surrogates GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:10:04.258432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fda7eb7-1f61-4008-b791-ef709c12bf72 · inbound

Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting cites this paper.

Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T04:52:55.994940Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7be16321-95f5-49d7-adf4-1ec6a9cf714a · inbound

Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations cites this paper.

Vision as a Dialect: Unifying Visual Understanding and Generation via Text-Aligned Representations GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-15T18:46:10.604023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60f0f2e2-d63f-4d8e-a6fa-28d0a5c28c45 · inbound

FarSkip-Collective: Unhobbling Blocking Communication in Mixture of Experts Models cites this paper.

FarSkip-Collective: Unhobbling Blocking Communication in Mixture of Experts Models GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-03T22:13:59.176576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b7bf7da-6f08-461d-b49b-abab39771e78 · inbound

One Prompt, Many Sounds: Modeling Listener Variability in LLM-Based Equalization cites this paper.

One Prompt, Many Sounds: Modeling Listener Variability in LLM-Based Equalization GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:27:59.201417Z

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.

Observation 8755820b-9c77-4f2e-844b-f77d5e61fe87 · inbound

One Prompt, Many Sounds: Modeling Listener Variability in LLM-Based Equalization cites this paper.

One Prompt, Many Sounds: Modeling Listener Variability in LLM-Based Equalization GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T10:39:37.483039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 777ae68e-6444-4b2c-9c84-9c16349c07ef · inbound

MAR: Efficient Large Language Models via Module-aware Architecture Refinement cites this paper.

MAR: Efficient Large Language Models via Module-aware Architecture Refinement GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:12:43.041776Z

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.

Observation 76be6c74-3573-4ea1-bcfc-ed0354b6ece3 · inbound

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders cites this paper.

Less is Enough: Synthesizing Diverse Data in LLM Feature Space with Sparse Autoencoders GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T01:17:12.055643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d25d730f-4533-4455-94da-848824cef838 · inbound

Multi-Token Residual Prediction cites this paper.

Multi-Token Residual Prediction GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-20T22:44:09.769757Z

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.

Observation 4ee3e06b-fee1-4258-817f-c3ca77f05b15 · inbound

Multi-Token Residual Prediction cites this paper.

Multi-Token Residual Prediction GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-30T22:05:05.835816Z

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.

Observation 27522345-587d-4c15-a6e2-51a5c70d6338 · inbound

Adaptive Depth Sparse Framework: Similarity-Driven Resource Allocation for Pre-Trained LLMs cites this paper.

Adaptive Depth Sparse Framework: Similarity-Driven Resource Allocation for Pre-Trained LLMs GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T07:57:56.074171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.