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Paper Citation Record · LEDGER

Scalable Language Model with Generalized Continual Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.07470.

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

pith.paper-citation-record.v1
2404.07470 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:40:22.174315Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:57:10.026107Z

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 0136af4c-2c5a-43b4-bca9-15aa968675cf · inbound

Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation cites this paper.

Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation Scalable Language Model with Generalized Continual Learning

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T12:40:22.174315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:40:22.174315Z digest=sha256:87964ecd915fe0945efac163c9362bff6ced4ae218c4fa71d19526c680a13b72

Observation f7cae70b-0dc2-4b0c-8eb7-ce7ca5f1d669 · inbound

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation cites this paper.

Enhancing Spatial Reasoning in Multimodal Large Language Models through Reasoning-based Segmentation Scalable Language Model with Generalized Continual Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T21:53:01.348484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:53:01.348484Z digest=sha256:528c72f7f80dfbce5e5d48cbee3d11b3a2c8f25411d33dbcd3f9f6d64178f732

Observation 1489d795-14ca-47c8-bc1f-5f47515d9f86 · inbound

DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling cites this paper.

DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling Scalable Language Model with Generalized Continual Learning

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:57:10.027805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-27T22:16:01.457276Z digest=sha256:8d282a83264b9e9f5f2573144bb510f443930ed4af8eee8935b6c4c63f17cfe3

Observation 90b9ebce-e4e0-4369-8acb-d680984c86c3 · inbound

Dynamic-dLLM: Dynamic Cache-Budget and Adaptive Parallel Decoding for Training-Free Acceleration of Diffusion LLM cites this paper.

Dynamic-dLLM: Dynamic Cache-Budget and Adaptive Parallel Decoding for Training-Free Acceleration of Diffusion LLM Scalable Language Model with Generalized Continual Learning

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:33:28.285426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T13:27:45.796650Z digest=sha256:b006517ad1787907b602a2c9f5ad21433d143ed3ae321efdb82100fe09acfc50

Observation 8daa6cea-3707-4c39-a05a-fa3b3ec6e825 · inbound

DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decoding cites this paper.

DC-Leap: Training-Free Acceleration of dLLMs via Draft-Guided Contiguous Leaping Decoding Scalable Language Model with Generalized Continual Learning

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T13:42:25.714439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:42:25.714439Z digest=sha256:4631fe0bd7435c83ec991806f0035b7e41a5bb6530d83ac76fba8e3553deab21