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Paper Citation Record · LEDGER

BitNet b1.58 2B4T Technical Report

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2504.12285.

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

pith.paper-citation-record.v1
2504.12285 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:11:01.072185Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:08.922149Z

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 a6848788-c955-4892-b53a-fcf76eb0b116 · inbound

Ultra-Quantisation: Efficient Embedding Search via 1.58-bit Encodings cites this paper.

Ultra-Quantisation: Efficient Embedding Search via 1.58-bit Encodings BitNet b1.58 2B4T Technical Report

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:11:01.072185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:11:01.072185Z digest=sha256:2ce579758e7d9352351cfd550762629a3c87ffa6c891fcb5d10f1767dc112888

Observation bffe5d69-1676-4f0e-895e-14c712dc2cfc · inbound

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models cites this paper.

Rethinking 1-bit Optimization Leveraging Pre-trained Large Language Models BitNet b1.58 2B4T Technical Report

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:44:26.502882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T23:44:01.953344Z digest=sha256:27c81dbe5ab391a04252bd954edda769815b225d94cf4f14a161f49fffc5f47c

Observation d4b176e7-702e-4128-acbb-69a05aea4469 · inbound

Vec-LUT: Vector Table Lookup for Parallel Ultra-Low-Bit LLM Inference on Edge Devices cites this paper.

Vec-LUT: Vector Table Lookup for Parallel Ultra-Low-Bit LLM Inference on Edge Devices BitNet b1.58 2B4T Technical Report

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:48:45.826802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-17T00:46:48.862313Z digest=sha256:7eed9bcf5730733a6c57ac99f38f2e4cef782efeac777942b49a0b577fd10bc7

Observation 81f80635-ee33-4837-ad7d-ac8ec7aac7e6 · inbound

ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook cites this paper.

ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook BitNet b1.58 2B4T Technical Report

Reference 160

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:28:14.222746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T20:23:15.138933Z digest=sha256:5ad094b1500b3db8f872cf50021163cce0d1cb01e60d7aad0d6045081daf0974

Observation 38844da2-1057-4712-ad84-02dfbc31a98e · inbound

LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation cites this paper.

LBLLM: Lightweight Binarization of Large Language Models via Three-Stage Distillation BitNet b1.58 2B4T Technical Report

Reference 92

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:46:04.890111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T03:04:14.900791Z digest=sha256:9c071dc0f0a988ce8c5dda8064d04ca3d87f63d913a99a68ef5fd91c8ce7dc76

Observation 3987a506-20d9-4355-89d5-bc0f04484358 · inbound

VitaLLM: A Versatile, Ultra-Compact Ternary LLM Accelerator with Dependency-Aware Scheduling cites this paper.

VitaLLM: A Versatile, Ultra-Compact Ternary LLM Accelerator with Dependency-Aware Scheduling BitNet b1.58 2B4T Technical Report

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:51:27.256971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-07T09:05:12.937377Z digest=sha256:47a3703fdbec715520b9dffaefb5b285b648f69f2b0de7d90ce326460fd433c8

Observation c15ca55c-3d05-4afc-83c1-7e9f4c42c063 · inbound

VitaLLM: A Versatile and Tiny Accelerator for Mixed-Precision LLM Inference on Edge Devices cites this paper.

VitaLLM: A Versatile and Tiny Accelerator for Mixed-Precision LLM Inference on Edge Devices BitNet b1.58 2B4T Technical Report

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:51:43.976811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-09T19:06:18.309062Z digest=sha256:ebe71e7ae06764351d3ff646a40e50a608d8e8829d51416339d9a815f4a5cd4a

Observation f6bed853-e073-49cc-9f8d-68b69f2290a3 · inbound

Stochastic Sparse Attention for Memory-Bound Inference cites this paper.

Stochastic Sparse Attention for Memory-Bound Inference BitNet b1.58 2B4T Technical Report

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-09T05:55:30.726798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-08T19:23:30.229450Z digest=sha256:e92b56a4a896167900b67c3f668a3a4cc1f4656b6b7ad6e3d537ef019830311c

Observation b8bae241-ac19-443c-9910-6c18d6d07d5c · inbound

Spike-Aware C++ INT8 Inference for Sparse Spiking Language Models on Commodity CPUs cites this paper.

Spike-Aware C++ INT8 Inference for Sparse Spiking Language Models on Commodity CPUs BitNet b1.58 2B4T Technical Report

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T05:56:40.439356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T07:58:02.163383Z digest=sha256:a88d28f8b1672fce339830add9a1079c2ce926d5cac4b268fbd3511a270a57c3

Observation 28d23c3d-8a0b-4051-af10-f0a2ea7f5f6a · inbound

GoldenFloat: A Phi-Derived Static-Split Floating-Point Family from GF4 to GF1024 with a Lucas-Exact Integer Identity cites this paper.

GoldenFloat: A Phi-Derived Static-Split Floating-Point Family from GF4 to GF1024 with a Lucas-Exact Integer Identity BitNet b1.58 2B4T Technical Report

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-02T11:26:54.594148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T03:47:27.000639Z digest=sha256:220f1cebe2b4532f2a8232caf87401c13f3fe3303b716c0ee03f06f598c06168

Observation 78210518-5448-44bd-852b-5d3ffc442498 · inbound

LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization cites this paper.

LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization BitNet b1.58 2B4T Technical Report

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-03T04:57:38.348116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T13:32:32.996055Z digest=sha256:3dc6e2fa1ed51fe2a2079a1a95b38d2bae114d2eba26abf86def75a822e93e4c

Observation 8a249931-a43c-494b-965c-b38b6b71fac3 · inbound

LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization cites this paper.

LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization BitNet b1.58 2B4T Technical Report

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:47:25.270163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-07-02T22:47:05.759610Z digest=sha256:cdb654a0ce8ce1100dc182ae62789e2258d46bcb0f000ae0e52b2bce825a4b38

Observation 47772374-55fd-4580-80a3-3d1f7446500b · inbound

On the Expressive Power of Weight Quantization in Large Language Models cites this paper.

On the Expressive Power of Weight Quantization in Large Language Models BitNet b1.58 2B4T Technical Report

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-07-04T08:19:44.226259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-26T11:53:45.787243Z digest=sha256:2e642b9867959f893a8ceb8c80f361f56c50f6e5ce71e013a9b04a6bc8df12c3

Observation 5b85a00f-c1f7-4054-ac5d-5acb6a1575ae · inbound

BitNet Text Embeddings cites this paper.

BitNet Text Embeddings BitNet b1.58 2B4T Technical Report

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:00:08.923572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-25T20:48:30.687676Z digest=sha256:9c0e451ff8714ecce1c9de1f803bc9540c4baeb9ee61102f3a2c5e2894237aa1

Observation 72af1efb-8c32-4097-92fc-e065449905a5 · inbound

BitNet Text Embeddings cites this paper.

BitNet Text Embeddings BitNet b1.58 2B4T Technical Report

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T10:15:53.793238Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:15:53.793238Z digest=sha256:f1e42bae218ec3cacaa835658893a1881bd7575dd5bf01fff3d093bc631ce164

Observation f6f5c191-5360-4ca8-84bf-05f588d1f8f3 · inbound

When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation cites this paper.

When Can Depth Replace Precision? A Resource Theory of Quantized Neural Computation BitNet b1.58 2B4T Technical Report

Reference 167

Resolution
unresolved
no resolver link, observed 2026-07-30T23:38:38.676127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T23:38:38.676127Z digest=sha256:838967183430b355c82e6b7ebb3255c76b78040ed09a3129111df3b7daf44265