Pith Number

pith:FQJD2OZX

pith:2026:FQJD2OZXDTDBGMSR5IXVOUBM3I

not attested not anchored not stored refs resolved

Bridging Brain and Semantics: A Hierarchical Framework for Semantically Enhanced fMRI-to-Video Reconstruction

Biao Gong, Chenglong Ma, Chenhui Wang, Hangjie Yuan, Hongming Shan, Jianxiong Gao, Shiwei Zhang, Shuai Tan, Yujie Wei

CineNeuron reconstructs videos from fMRI signals through bottom-up semantic enrichment followed by top-down memory integration.

arxiv:2605.14569 v1 · 2026-05-14 · cs.CV

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{FQJD2OZXDTDBGMSR5IXVOUBM3I}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Extensive experimental results on two fMRI-to-video benchmarks demonstrate that CineNeuron surpasses state-of-the-art methods across various metrics.

C2weakest assumption

The assumption that the proposed bottom-up semantic enrichment and top-down memory integration stages can reliably capture video-specific cues such as actions without post-hoc tuning or benchmark-specific overfitting.

C3one line summary

CineNeuron improves fMRI-to-video reconstruction by combining bottom-up semantic enrichment with top-down Mixture-of-Memories integration and outperforms prior methods on benchmarks.

References

119 extracted · 119 resolved · 18 Pith anchors

[1] A massive 7T fMRI dataset to bridge cognitive neuroscience and ar- tificial intelligence.Nature Neuroscience, 25(1):116–126,

[2] arXiv preprint arXiv:2306.16934 (2023) 2023

[3] Signal quality as Achilles’ heel of graph the- ory in functional magnetic resonance imaging in multiple sclerosis.Scientific Reports, 11(1):7376, 2021 2021

[4] arXiv preprint arXiv:2310.19812 , year= 2023

[5] Structure and func- tion of visual area MT.Annu 2005

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-17T23:39:05.491646Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

2c123d3b371cc6133251ea2f57502cda07d6d20c05daa98ed60c8a904f928cd9

Aliases

arxiv: 2605.14569 · arxiv_version: 2605.14569v1 · doi: 10.48550/arxiv.2605.14569 · pith_short_12: FQJD2OZXDTDB · pith_short_16: FQJD2OZXDTDBGMSR · pith_short_8: FQJD2OZX

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/FQJD2OZXDTDBGMSR5IXVOUBM3I \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 2c123d3b371cc6133251ea2f57502cda07d6d20c05daa98ed60c8a904f928cd9

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ec65ffb982ea273df81e3595ccf9abfe822a9ec29d63e82da5b0e9b73af14706",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-05-14T08:39:42Z",
    "title_canon_sha256": "d9b7d786347e96e9274663fd273b3716ddd765074fd097c4a8c386a01b4f6d50"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.14569",
    "kind": "arxiv",
    "version": 1
  }
}