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Paper Citation Record · LEDGER

Mamba-PTQ: Outlier Channels in Recurrent Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.12397.

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

pith.paper-citation-record.v1
2407.12397 v1

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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T10:59:50.617449Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:08:58.135988Z

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 c23e7732-2338-49e1-8e73-83d9b00d7af2 · inbound

Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2 cites this paper.

Neuromorphic Principles for Efficient Large Language Models on Intel Loihi 2 Mamba-PTQ: Outlier Channels in Recurrent Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T10:59:50.617449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T10:59:50.617449Z digest=sha256:4a289d355d9ba7ef1a064a2f68403809d99f23783722382df50a5c5e78e17daa

Observation 32b9c147-d553-493d-be7f-d9d153f8bcac · inbound

Quantizing Small-Scale State-Space Models for Edge AI cites this paper.

Quantizing Small-Scale State-Space Models for Edge AI Mamba-PTQ: Outlier Channels in Recurrent Large Language Models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T00:54:51.786877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:54:51.786877Z digest=sha256:fdcbdecc52934a93dcbf4dcd739ea18c858021712aba4a2281d3978b2532e61d

Observation 463b980b-3a8d-4298-8ef9-89c0b1596981 · inbound

Neural Weight Compression for Language Models cites this paper.

Neural Weight Compression for Language Models Mamba-PTQ: Outlier Channels in Recurrent Large Language Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T10:15:15.097043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:15:15.097043Z digest=sha256:10e424646aebd266cbd08bbb8ef0ab542a5e2b0ab488fe75b2440c665843bf71

Observation 24f7e3d7-483e-4b5d-898a-3a77dcc5d330 · inbound

A KL Lens on Quantization: Fast, Forward-Only Sensitivity for Mixed-Precision SSM-Transformer Models cites this paper.

A KL Lens on Quantization: Fast, Forward-Only Sensitivity for Mixed-Precision SSM-Transformer Models Mamba-PTQ: Outlier Channels in Recurrent Large Language Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-10T14:25:29.271421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T14:24:53.745784Z digest=sha256:5977a1561e056250f56d2ed3e973d2effe0a87dec45dacb841b7a43efb971fc1

Observation 276046b5-7ec1-4a64-b263-553753179cc0 · inbound

ViM-Q: Scalable Algorithm-Hardware Co-Design for Vision Mamba Model Inference on FPGA cites this paper.

ViM-Q: Scalable Algorithm-Hardware Co-Design for Vision Mamba Model Inference on FPGA Mamba-PTQ: Outlier Channels in Recurrent Large Language Models

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:45:22.490871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T19:35:49.344473Z digest=sha256:8dfaa8675830ceb62af5fee76d333728d830c334d5464424e7b2b3f24cb37c54

Observation 050a148f-50cc-4bb9-b7ec-3c98fe7fe157 · inbound

Ternary Mamba: Grouped Quantization-Aware Training of W1.58A16 State Space Models cites this paper.

Ternary Mamba: Grouped Quantization-Aware Training of W1.58A16 State Space Models Mamba-PTQ: Outlier Channels in Recurrent Large Language Models

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:08:58.137818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T00:55:02.737906Z digest=sha256:4f328c4f00bbcf9130f9d8aa54132c2601fda3ab62dbaaa94ec16e9141874bcc