Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-01T08:55:37.926334Z
Paper Citation Record · LEDGER
Density Field State Space Models: 1-Bit Distillation, Efficient Inference, and Knowledge Organization in Mamba-2
As of 22 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.
Pith citing papers
No inbound Pith citation observations are available.