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Paper Citation Record · LEDGER

The Impact of Quantization and Pruning on Deep Reinforcement Learning Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.04803.

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

pith.paper-citation-record.v1
2407.04803 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:12:14.496306Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:46:43.029237Z

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 f3adab86-9012-4eb6-abd1-9d165470cd4e · inbound

TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization cites this paper.

TinyMusician: On-Device Music Generation with Knowledge Distillation and Mixed Precision Quantization The Impact of Quantization and Pruning on Deep Reinforcement Learning Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T13:12:14.496306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:12:14.496306Z digest=sha256:c49312637dc06fdfe132196cfec53afc70399bd716011f76e1555f360909d203

Observation 6e5059e3-d849-462d-bfa2-723b027dbe65 · inbound

Learning Quantized Continuous Controllers for Integer Hardware cites this paper.

Learning Quantized Continuous Controllers for Integer Hardware The Impact of Quantization and Pruning on Deep Reinforcement Learning Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-03T23:13:51.570252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T23:13:51.570252Z digest=sha256:3e3ad6f65dfe692ecad956386d4f590bd4cf5eaf48fbeb0ee31109ddb47eb47b

Observation 5e797041-37c6-4eef-ab70-3862a92d7999 · inbound

Differentiable Weightless Controllers: Learning Logic Circuits for Continuous Control cites this paper.

Differentiable Weightless Controllers: Learning Logic Circuits for Continuous Control The Impact of Quantization and Pruning on Deep Reinforcement Learning Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T19:16:27.432698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:16:27.432698Z digest=sha256:526f7bdf1ebccfc67cf22673594397094e05ecb5acd2f78155712d9b09e0f4b9

Observation 3e16ec4b-d0b7-4282-9ac5-51496790f678 · inbound

BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment cites this paper.

BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment The Impact of Quantization and Pruning on Deep Reinforcement Learning Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:46:43.031676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-08T04:23:26.079298Z digest=sha256:2c727d72d9522e7533cb3d6da25878d2cc616a547b7dcc74054656f056a548c6