Paper Citation Record · LEDGER

With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.11504.

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

pith.paper-citation-record.v1
2401.11504 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:57:15.784636Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T11:34:37.966981Z

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 b0d8488a-6186-46fc-9703-dec6a9253b90 · inbound

CaliDrop: KV Cache Compression with Calibration cites this paper.

CaliDrop: KV Cache Compression with Calibration With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T13:57:15.784636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b37f74b-8458-4ea6-bf7d-be9e2d2cc8bb · inbound

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models cites this paper.

GRIP: In-Parameter Graph Reasoning through Fine-Tuning Large Language Models With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T23:37:58.111327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04b2e987-b6ec-4e41-95a6-d3c2f25f8008 · inbound

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration cites this paper.

Training LLM Agents for Spontaneous, Reward-Free Self-Evolution via World Knowledge Exploration With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:10:23.370274Z

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.

Observation 0a46f037-d33e-4345-a84f-07a6b6bc7212 · inbound

HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning cites this paper.

HMARS: A Hierarchical Multi-Agent Memory System for Long-Context Reasoning With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T11:34:37.972050Z

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.

Observation c6dd0b0c-7db3-471f-8a1e-3eaf3391a290 · inbound

Metis: Memory Foundation Model cites this paper.

Metis: Memory Foundation Model With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-07-30T21:56:17.882492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85a1e865-5523-48a2-8c9e-8f252db4137d · inbound

Metis: Memory Foundation Model cites this paper.

Metis: Memory Foundation Model With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T04:28:11.297733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3acdcb95-01ef-4271-8bb0-92e06b15f628 · inbound

RING: Retrieval-Internalized Generation for Continual Large-Scale Knowledge Injection cites this paper.

RING: Retrieval-Internalized Generation for Continual Large-Scale Knowledge Injection With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:14.886272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.