Paper Citation Record · LEDGER

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2

As of 10 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2606.10932.

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

pith.paper-citation-record.v1
2606.10932 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-01T08:55:37.926334Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

verified exact5
verified fuzzy18
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e02e209d-71ed-45f1-8994-c0bc7ff6f2af · outbound

This paper cites The Hidden Attention of Mamba Models.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 The Hidden Attention of Mamba Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:05:37.136118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a591691-d4c7-4b0e-ae97-99c3649cef85 · outbound

This paper cites Probing classifiers: Promises, shortcomings, and advances.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Probing classifiers: Promises, shortcomings, and advances

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.748843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ec3f925-4270-4398-877b-51913f2ec91c · outbound

This paper cites Eliciting Latent Predictions from Transformers with the Tuned Lens.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Eliciting Latent Predictions from Transformers with the Tuned Lens

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-07-01T09:05:37.121412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 897325b4-c607-42fa-8b2c-ce99decdef46 · outbound

This paper cites Quip\#: Even better llm quantization with hadamard incoherence and lattice codebooks.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Quip\#: Even better llm quantization with hadamard incoherence and lattice codebooks

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.745363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d501db3c-3b69-42da-bcac-ac0a24b71daf · outbound

This paper cites Knowledge neurons in pretrained transformers.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Knowledge neurons in pretrained transformers

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.737141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3e2ec7b2-5d61-4c6f-bb0f-3a48a289b317 · outbound

This paper cites Transformers are ssms: Generalized models and efficient algorithms through structured state space duality.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Transformers are ssms: Generalized models and efficient algorithms through structured state space duality

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.738995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5cbd6e32-1888-4453-8d5c-12eca2c1caa0 · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Qlora: Efficient finetuning of quantized llms

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.741384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 32f87d94-06ea-4156-ba0e-4baf4950ecd9 · outbound

This paper cites Spqr: A sparse-quantized representation for near-lossless llm weight compression.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Spqr: A sparse-quantized representation for near-lossless llm weight compression

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.743483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 091e6574-efef-48f2-b693-5b57132f2992 · outbound

This paper cites Mechanistic interpretability of mamba, 2024.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Mechanistic interpretability of mamba, 2024

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.733244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9caac48c-e709-43ab-9505-cd8e5876f419 · outbound

This paper cites Gptq: Accurate post-training quantization for generative pre-trained transformers.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Gptq: Accurate post-training quantization for generative pre-trained transformers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.731837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation af65ca94-a677-43de-8d79-f6e8121561ff · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-07-01T09:05:37.132288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e80f8e47-fc7b-4eba-910a-70cd193d2574 · outbound

This paper cites Efficiently modeling long sequences with structured state spaces.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Efficiently modeling long sequences with structured state spaces

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.725048Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b3c1faf8-76f9-4106-ad42-c6b943cda35d · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Lora: Low-rank adaptation of large language models

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.723663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0d972d20-b559-42bb-839a-8127afaf352d · outbound

This paper cites Enhancing LLM Reasoning with Reward-guided Tree Search.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Enhancing LLM Reasoning with Reward-guided Tree Search

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T09:05:37.131006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 21bf348f-98fb-4389-8755-2d54ea748a30 · outbound

This paper cites Squeezellm: Dense-and-sparse quantization.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Squeezellm: Dense-and-sparse quantization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.727145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9266d304-179a-4253-afc3-d989259ebc75 · outbound

This paper cites Understanding and improving knowledge distillation for quantization-aware training, 2021.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Understanding and improving knowledge distillation for quantization-aware training, 2021

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.731442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 749b77d2-7513-4153-ba8f-ebe804d8d0b5 · outbound

This paper cites Awq: Activation-aware weight quantization for llm compression and acceleration.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Awq: Activation-aware weight quantization for llm compression and acceleration

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.735202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4c189ff4-0c09-4710-bccc-3c965af231d7 · outbound

This paper cites The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-01T09:05:37.116532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 474f5360-84c3-43f4-9aab-8273fd5fc5cd · outbound

This paper cites Locating and editing factual associations in gpt.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Locating and editing factual associations in gpt

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.747043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 961bfa34-3a47-4214-b385-8c05e3fc77ee · outbound

This paper cites Mass-editing memory in a transformer.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Mass-editing memory in a transformer

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.715867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d41ee3ff-d4a0-4e05-94a1-21f4f07f423b · outbound

This paper cites Interpreting gpt: The logit lens.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Interpreting gpt: The logit lens

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.717969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c5cd62bc-c4e0-4704-aab8-9e5f871695fa · outbound

This paper cites BitNet: Scaling 1-bit Transformers for Large Language Models.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 BitNet: Scaling 1-bit Transformers for Large Language Models

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-07-01T09:05:37.124870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3a676f3d-4331-471e-b337-73cd015ddc2b · outbound

This paper cites Q8bert: Quantized 8bit bert.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Q8bert: Quantized 8bit bert

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.720000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9bcc3a92-b946-4a43-8190-2d1dd5375093 · outbound

This paper cites Bitmamba-2: A scalable 1.58-bit state space model, 2025.

Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2 Bitmamba-2: A scalable 1.58-bit state space model, 2025

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-07-06T12:22:26.716434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.